Download Maritime Boundary Data in Shapefile, KML, MID +15 GIS Formats

Need accurate coastal and marine boundary information? Now you can Download Maritime Boundary Data with ease using GIS Data by MAPOG. This intuitive platform supports over 15 GIS formats, including Shapefile, KML, GeoJSON, and MID, making it suitable for a wide range of geospatial tools. Whether you’re involved in marine conservation, coastal planning, or international boundary studies, MAPOG provides structured, ready-to-use datasets for seamless visualization and spatial analysis.

How to Download Maritime Boundary Data with MAPOG

The process is efficient and user-focused, offering access to maritime datasets across global water bodies. With over 900+ GIS layers and 200+ data themes, MAPOG ensures accessibility in formats like SHP, KML, MIF, DXF, CSV, GeoJSON, SQL, TOPOJSON, and GPX. This flexibility empowers professionals, researchers, and students alike.

Download Maritime Boundary Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Maritime Boundary Data

Step 1: Search Maritime Boundary Layer

Begin by navigating through the MAPOG interface and using the search function to find “Maritime Boundary Data.” Each layer includes detailed metadata and geometry type—whether it’s a line representing maritime zones or a polygon for exclusive zones.

Download Maritime Boundary Data
Download Maritime Boundary Data

Speed up your search using MAPOG’s “Try AI” feature. Just type queries like “Exclusive zones” or “Maritime boundaries near coastlines,” and the system instantly fetches relevant datasets. This feature is particularly helpful for new users or those exploring specific marine areas.

Download Maritime Boundary Data
Step 3: Filter by Region

Use the Filter Data option to narrow your dataset by region, state, or district-level boundaries when applicable. This makes it easier to retrieve precise data, especially for local marine management, coastal development, or spatial policy-making.

Download Maritime Boundary Data
Step 4: Add Layers to Map for Visualization

Click on the “Add on Map” option to view your selected maritime boundary layers in the analysis interface. This helps in examining overlaps, nearby zones, and distances—crucial for maritime planning and dispute resolution.

Download Maritime Boundary Data
Step 5: Download Maritime Boundary Data

Once the layer is finalized, select the “Download” button. Choose from a sample or full dataset, select the preferred format (such as Shapefile, KML, MID, GeoJSON, etc.), agree to the terms, and complete the download process. The data can then be imported into platforms like QGIS, ArcGIS, or AutoCAD for further use.

Download Maritime Boundary Data

Final Thoughts

With a few clicks, you can now Download Maritime Boundary Data in the format that best suits your GIS workflow. MAPOG’s rich repository, AI-powered search, and map-based tools make it a powerful resource for accessing high-quality geographic data. Whether you’re analyzing coastal zones or mapping maritime jurisdiction, this platform offers everything you need to make informed, data-driven decisions.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Vacation Homes Data in Shapefile, KML, MID & more

Looking to explore or map out vacation home locations across various regions? Now you can Download Vacation Homes Data seamlessly using the GIS Data by MAPOG platform. Whether you’re working on tourism analysis, real estate planning, or lifestyle research, MAPOG offers well-organized, up-to-date spatial datasets in over 15+ GIS formats—Shapefile, KML, GeoJSON, MID, and many more—making integration with your favorite GIS tools smooth and effortless.

How to Download Vacation Homes Data

The MAPOG platform is designed to simplify the entire process. Covering data from thousands of layers, it offers unmatched versatility through a wide range of export formats—CSV, DXF, SQL, MIF, TOPOJSON, GPX, and more—perfect for both technical and academic purposes.

Download Vacation Homes Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Access and Download Vacation Homes Data

Step 1: Search for Vacation Homes Layer

Start by navigating to the GIS Data by MAPOG interface. Use the search function and type “Vacation Homes Data.” You’ll see available layers categorized by geometry (point or polygon) with detailed attributes like capacity, property type, and operational status.

Download Vacation Homes Data
Download Vacation Homes Data
Step 2: Use the AI-Powered Search Tool

Leverage the “Try AI” feature to find exactly what you need. Enter prompts like “Vacation homes near city” or “leisure properties in rural areas” and let MAPOG’s intelligent search bring back the most relevant datasets in seconds.

Download Vacation Homes Data
Step 3: Filter by Region

Narrow your search further using the Filter Data option. This allows you to drill down to state or district levels, especially useful when working with broader country-wide datasets. With just a few clicks, you get highly localized data ready for deep analysis.

Download Vacation Homes Data
Step 4: Add Layers with ‘Add on Map’

Want to preview before downloading? Use the Add on Map button to overlay your chosen data directly onto the interactive map interface. This lets you analyze spatial patterns, distribution trends, and potential gaps visually before taking the next step.

Download Vacation Homes Data
Step 5: Download Vacation Homes Data

Once you’re confident about the dataset, simply click “Download Data.” Choose between a sample or full version, select your preferred format—whether it’s Shapefile, KML, MID, or others—agree to the terms, and proceed with the download. Please note that users must be logged in to access full download features.

Download Vacation Homes Data

Final Thoughts

With GIS Data by MAPOG, it’s easier than ever to Download Vacation Homes Data in the format that best fits your GIS workflow. From planning vacation zones to analyzing property trends, this tool provides flexible and comprehensive access to geographic datasets. So whether you’re a real estate analyst, a tourism planner, or a GIS learner, you’ll find MAPOG a reliable companion for spatial exploration. Just log in, filter your region, and download Vacation Homes Data that aligns perfectly with your project goals.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Guest Houses GIS Data: Shapefile, KML, GeoJSON & More for Easy Download

Looking to explore or map the distribution of guest accommodations with ease? Download Guest Houses Data seamlessly using GIS Data by MAPOG—a platform designed for professionals, researchers, and planners who need reliable geospatial datasets. Whether you’re analyzing tourism infrastructure, planning routes, or conducting demographic research, MAPOG offers guest house location data in over 15 GIS formats including Shapefile, KML, GeoJSON, and MID, making it highly compatible with popular GIS tools and systems.

How the GIS Data by MAPOG Platform Works

The platform is built for ease. With a simple interface and intelligent search options, GIS Data by MAPOG helps users locate, filter, preview, and export spatial data from a massive library of 900+ layers spanning 200+ regions globally. The formats supported—SHP, KML, MID, DXF, CSV, SQL, GeoJSON, MIF, TOPOJSON, GPX, and others—enable interoperability across different GIS software like QGIS, ArcGIS, AutoCAD, and more.

Download Guest Houses Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Guest Houses Data

Step 1: Search for Guest Houses Data

Begin by accessing the GIS Data by MAPOG interface. Use the search bar to enter “Guest Houses Data.” From there, explore the metadata to confirm whether the dataset is in point or polygon format and review included attributes like facility name, coordinates, operational status, and more.

Download Guest Houses Data
Download Guest Houses Data
Step 2: Utilize the AI Search Assistant

To speed things up, try the “Try AI” search tool on the platform. Simply type in prompts like “Guest Houses in [your area]” or “Lodging data,” and the AI tool will return the most relevant layers. This saves manual effort and boosts the accuracy of your data selection.

Download Guest Houses Data
Step 3: Refine Results Using Filter Data Option

One of MAPOG’s strongest features is its ability to let users filter data by state and district. For nationwide guest house datasets, this becomes especially useful—allowing you to drill down from broad country-level data to pinpoint locations at city or neighborhood levels. The filters help streamline your dataset for better analysis and visualization.

Download Guest Houses Data
Step 4: Preview with “Add on Map” Feature

After selecting your dataset, use the “Add on Map” option to visualize the guest house points on an interactive GIS map. This step is essential for identifying patterns in guest house distribution, evaluating density near tourist hotspots, or analyzing accessibility in underserved areas. It also supports layer comparison and multi-dataset overlays.

Download Guest Houses Data
Step 5: Download Guest Houses Data in Desired Format

Once your dataset is curated and visualized, proceed to download. Choose either a sample or the full version. Select your preferred format—whether it’s Shapefile, KML, MID, GeoJSON, or another supported type. Accept the terms of use, and click on the download button. The file will be ready to integrate into your GIS project right away.

Download Guest Houses Data

Final Thoughts

With an ever-growing need for spatial intelligence, the ability to Download Guest Houses Data across a wide range of formats is a powerful asset. GIS Data by MAPOG stands out by offering flexibility, simplicity, and detailed data layers that cater to a variety of use cases—from tourism and urban studies to emergency mapping and location intelligence. Whether you’re a GIS specialist, data analyst, or urban planner, this platform equips you with the tools to make informed decisions backed by high-quality geospatial data.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:


Download Kindergarten GIS Data (Shapefile, KML, CSV, GeoJSON) – Global Education Mapping

Searching for accurate kindergarten location data for your next GIS project? Download Kindergarten Data easily using GIS Data by MAPOG — a user-centric platform designed to deliver detailed spatial datasets in a wide range of formats, including Shapefile, KML, MID, GeoJSON, and more. Whether you’re mapping early childhood education access, planning infrastructure, or conducting urban studies, MAPOG offers structured and up-to-date data to support comprehensive spatial analysis.

How to Download Kindergarten Data

GIS Data by MAPOG simplifies the process of accessing education facility datasets by offering a clean, guided interface. With over 900+ categorized layers and support for 15+ GIS formats such as SHP, KML, MID, GeoJSON, CSV, DXF, SQL, GPX, and TOPOJSON, this platform suits both beginners and GIS professionals alike.

Download Kindergarten Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Kindergarten Data

Step 1: Search for Kindergarten Data

Begin by logging in to GIS Data by MAPOG. Use the layer search tool and type in “Kindergarten Data.” Review the dataset details to check whether it’s available as point or polygon features, depending on your analytical needs.

Download Kindergarten Data
Step 2: Use the AI Search Tool

Don’t want to search manually? MAPOG’s built-in “Try AI” tool can do the work for you. Just enter a phrase like “Kindergartens near me” or “Kindergarten facilities,” and the AI will fetch matching layers instantly. This smart feature accelerates the process and enhances precision.

Step 3: Refine with Filters

Narrow down your data using the Filter Data option. You can filter kindergartens by state or district, allowing for hyper-localized datasets that are perfect for in-depth spatial evaluations.

Step 4: Visualize with ‘Add on Map’

Before downloading, you can visualize your selected data using the Add on Map feature. This lets you overlay kindergarten locations onto the interactive map, enabling you to evaluate patterns, clusters, and geographic spread in real-time.

Step 5: Download Kindergarten Data

Once you’re happy with your selection, hit the “Download Data” button. Choose between a sample or full dataset, pick your preferred format — whether it’s Shapefile, KML, MID, or others — and proceed with the download. Accept the terms, and you’re ready to use the data in your preferred GIS tool.

Final Thoughts

With its intuitive interface and rich format options, GIS Data by MAPOG makes it remarkably easy to download Kindergarten Data for any kind of spatial study. Whether you are an academic, policymaker, or GIS professional, this platform equips you with the data you need for accurate, actionable insights. Explore the layers, filter precisely, and visualize effectively — all in one place. Don’t wait — Download Kindergarten Data today and take your spatial analysis to the next level.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Proposed Road Data in Multiple GIS Formats (Shapefile, KML, GeoJSON, MID)

GIS Data by MAPOG is a user-friendly platform that enables users to download proposed road data efficiently. It supports multiple GIS formats, including Shapefile, KML, GeoJSON, MID, and more, making it easier to access, analyze, and map transportation projects worldwide. The platform provides a seamless interface to download administrative and geographic datasets, assisting in urban planning and infrastructure development.

Understanding Proposed Road Data

Proposed road data includes planned or upcoming road projects mapped for urban expansion, connectivity improvement, or traffic management. It helps engineers, city planners, and GIS professionals analyze transportation networks, optimize routes, and assess environmental impacts before construction begins.

Download Proposed Road data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Proposed Road Data

Step 1: Search for ‘Proposed Road Data’

After logging into MAPOG, select the desired country. Use the search layer option to locate ‘Proposed Road data.’ Review data attributes, such as point or polygon formats, and ensure they align with your requirements.

Download Proposed Road Data
Download Proposed Road data
Step 2: Utilize the AI Tool

Use the “Try AI” feature in the upper left corner to simplify your search. Enter what data you need and from which area, and AI will provide relevant results. This feature enhances efficiency by quickly filtering required information.

Download Proposed Road Data
Step 3: Apply Data Filters

Refine your search using the filter data option. Narrow down datasets based on states, districts, or specific zones to get detailed insights. This step ensures users focus on the most relevant proposed road projects for their analysis.

Download Proposed Road Data
Step 4: Add to Map for Visualization

The “Add on Map” feature lets users overlay the proposed road data onto an interactive map. This step enhances spatial analysis and helps visualize road alignments, surrounding infrastructure, and possible constraints.

Download Proposed Road Data
Step 5: Download Data in Preferred Format

Click the “Download Data” button. Choose between downloading sample data or the full dataset. Select from various formats like Shapefile, KML, GeoJSON, MID, and more. Agree to the terms and conditions, then proceed with the download.

Download Proposed Road Data

Conclusion

With GIS Data by MAPOG, users can download proposed road data in multiple GIS formats. The platform simplifies access to crucial transportation planning information, supporting projects in urban development, traffic flow analysis, and infrastructure optimization. Whether for government agencies or private firms, MAPOG offers a reliable solution for mapping and analyzing proposed road networks.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Fuel Stations Data in Shapefile, KML, MID, GeoJSON & More for GIS Analysis

Need reliable data on fuel stations for mapping or spatial analysis? Now, you can download Fuel Stations Data easily using GIS Data by MAPOG. This intuitive and powerful platform offers access to multiple GIS formats like Shapefile, KML, MID, GeoJSON, and over 15 others—making it adaptable for various GIS software. Whether you’re planning infrastructure, optimizing logistics routes, or conducting research on fuel accessibility, delivers accurate and well-organized fuel station datasets for enhanced geographic analysis.

Why Fuel Stations Data Matters

Fuel stations data provides critical insights into accessibility, infrastructure planning, and emergency preparedness. From analyzing fuel availability in rural zones to studying urban station density, this dataset supports informed decision-making across industries.

Download Fuel Stations Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Fuel Stations Data

Step 1: Search for Fuel Stations Data

Begin by navigating to the MAPOG interface and entering “Fuel Stations Data” into the search layer bar. Explore the metadata to understand whether the data comes in point or polygon format, depending on the spatial structure provided.

Download Fuel Stations Data
Download Fuel Stations Data
Step 2: Use the AI Search Tool

MAPOG’s “Try AI” feature streamlines your search. Type phrases like “fuel stations near city” or “gas stations in area,” and let the AI auto-suggest the most relevant layers. It helps reduce manual filtering and increases search efficiency.

Download Fuel Stations Data
Step 3: Apply Smart Filters

Fine-tune your results with the Filter Data option. You can narrow the data down by specific states and districts, giving you precise control over your spatial dataset. Especially with country-level layers, this tool allows a deep-dive into local fuel availability and infrastructure.

Download Fuel Stations Data
Step 4: Visualize with ‘Add on Map’

To better understand the data, use the Add on Map feature to display selected layers directly on the interactive GIS interface. This step is great for visual inspection, pattern recognition, and planning decisions involving fuel station locations.

Download Fuel Stations Data
Step 5: Download Fuel Stations Data

Once your dataset is ready, click the “Download Data” button. Choose from sample or full data, select your preferred format—be it Shapefile, KML, MID, or others—and accept the terms of use. Your file will be ready for immediate use in your favorite GIS tool.

Download Fuel Stations Data

Final Thoughts

With GIS Data by MAPOG, the ability to Download Fuel Stations Data across formats has been redefined—simple, precise, and comprehensive. Whether your goal is to support urban planning, analyze service coverage, or map out essential refueling points, this platform equips you with the right tools and data. Explore, filter, visualize, and Download Fuel Stations Data all in one seamless experience.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Global Clinic Location Data in Shapefile, KML, and GeoJSON

GIS Data by MAPOG is a user-friendly platform that allows users to download clinic data in various GIS formats, including Shapefile, KML, and GeoJSON. The platform provides a seamless way to access and analyze healthcare facility locations, making it easier for planners, researchers, and policymakers to map and study clinic distributions worldwide.

How to get Clinic Data in MAPOG

MAPOG supports multiple data formats, ensuring compatibility with GIS tools. Users can access Shapefile, KML, CSV, GeoJSON and many more formats for their analysis. We can get 200+ countries 900+ datasets available here.

Download Clinic data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Clinic Data

Step 1: Search for ‘Clinic Data’

After accessing the GIS Data interface, select the desired country. Use the search layer option to locate Clinic data for specific locations. Review data attributes to check if they are formatted as points or polygons. For instance, users can search for medical centers in countries like the USA, UK, Canada, and Germany.

Download Clinic Data
Download Clinic data
Step 2: Utilize the AI Search Tool

Try the AI tool, “Try AI,” in the upper left corner to simplify the search process. Just enter what data you need and from which region, and the AI will provide the most relevant results.

Download Clinic Data
Step 3: Apply Filters

Refine your search using the Filter Data option. This allows users to select specific states, cities, or districts, ensuring precise results. Filtering data enhances accuracy, making it useful for regional healthcare analysis and planning.

Download Clinic Data
Step 4: Add to Map for Visualization

With the “Add on Map” feature, users can overlay clinic data onto a map for spatial analysis. By clicking on this option, they can either create a new map or integrate the dataset into an existing GIS project for deeper insights.

Download Clinic Data
Step 5: Download Clinic Data in Preferred Format

Click the “Download Data” button. Choose between sample data or the full dataset based on requirements. Select the format you need, such as Shapefile, KML, or GeoJSON. Accept the terms and conditions, then proceed with the final download.

Download Clinic Data

Conclusion

GIS Data by MAPOG makes it easy to download clinic data in multiple GIS formats. With precise location-based data, users can enhance healthcare planning, accessibility analysis, and emergency preparedness. Whether for government agencies, research institutions, or urban planners, MAPOG provides a valuable resource for healthcare mapping.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Greenfield Development Data in Shapefile, KML, and GeoJSON Formats

Greenfield development refers to the construction of new infrastructure on previously undeveloped land. This includes residential, commercial, and industrial projects. Accessing accurate geographic data is crucial for planning and decision-making. GIS Data by MAPOG makes it easy to download Greenfield Development Data in multiple formats like Shapefile, KML, and MID, ensuring compatibility with various GIS tools.

Why Use GIS Data by MAPOG?

GIS Data by MAPOG is a user-friendly platform offering multiple GIS formats, including Shapefile, KML, and GeoJSON. It simplifies the process of obtaining Greenfield Development Data, allowing users to analyze administrative and geographic datasets efficiently. With coverage spanning 200+ countries and over 900 data layers, it ensures detailed mapping and analysis for urban planning and infrastructure development.

Download Greenfield Development data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Greenfield Development Data

Step 1: Search for Greenfield Development Data

Log in to GIS Data by MAPOG. Select the desired country and use the search bar to find “Greenfield Development data.” Review the data attributes, including whether the dataset is a point or polygon.

Download Greenfield Development Data
Download Greenfield Development data

The “Try AI” tool, located in the upper left corner, simplifies the search process. Enter the required data type and location, and the AI will suggest relevant datasets instantly.

Download Greenfield Development Data
Step 3: Apply Filters for Specific Data

Refine your search using the filter option. Filter by state, district, or city to focus on specific areas of Greenfield development. This feature enhances accuracy and relevance for spatial analysis and planning.

Download Greenfield Development Data
Step 4: Visualize Data on the Map

The “Add on Map” feature allows users to overlay selected data onto a GIS map. This helps in visualizing spatial patterns and analyzing development potential. Users can add the dataset to an existing map or create a new one.

Download Greenfield Development Data
Step 5: Download Data in Your Preferred Format

Click on “Download Data” and choose between sample data or the full dataset. Select the required format—Shapefile, KML, GeoJSON, or any of the 15+ supported formats. Accept the terms and conditions, then click “Download.”

Download Greenfield Development Data

Conclusion

Downloading Greenfield Development Data from GIS Data by MAPOG is simple and efficient. With multiple formats available, users can seamlessly integrate data into their GIS workflows. Whether for urban planning, environmental assessment, or infrastructure development, MAPOG ensures easy access to up-to-date Greenfield Development Data, making it an essential tool for professionals and researchers.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Shopping Malls GIS Data – Shapefile, KML, GeoJSON

GIS Data by MAPOG is a user-friendly platform that provides easy access to various GIS data formats like Shapefile, KML, and GeoJSON. Whether you are a GIS professional or a researcher, this platform makes it effortless to download shopping malls data efficiently. It includes a vast collection of administrative and geographic datasets, allowing for detailed mapping and spatial analysis of shopping centers worldwide.

How to Download Shopping Malls Data Using GIS Data by MAPOG?

MAPOG simplifies the shopping malls data download process, offering over 200 countries and 900+ layers in multiple GIS formats, such as Shapefile, KML, and MID. With a step-by-step guide, users can efficiently access relevant data for their projects.

Download Shopping Malls Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Shopping Malls Data

Step 1: Search for Shopping Malls Data

Log in to GIS Data by MAPOG. Select your desired country, then use the search bar to locate Shopping Malls Data. The system provides details such as location, size, and data attributes, formatted as point or polygon layers.

Download Shopping Malls Data
Step 2: Use the AI Feature

The “Try AI” tool simplifies the search. Just enter the type of data and the location, and the AI feature will provide accurate results, saving time and effort.

Step 3: Filter Data for Specific Locations

The filtering option allows users to refine their search based on specific regions, cities, or districts. This feature ensures that only relevant shopping malls data is selected, enhancing accuracy for analysis or visualization.

Step 4: Visualize Data on a Map

With the Add on Map feature, users can overlay selected shopping malls data onto a map for further analysis. This functionality helps in identifying shopping trends, spatial patterns, and urban development opportunities.

Step 5: Download the Data

Click the Download Data button and choose between sample data or the full dataset. Select the required format—Shapefile, KML, GeoJSON, MID, or any of the 15+ supported formats. Accept the terms and conditions and initiate the download.

Conclusion

GIS Data by MAPOG offers a seamless way to download shopping malls data in multiple formats. Whether for business analysis, urban planning, or research, this platform ensures access to accurate and up-to-date shopping mall information. Start exploring today and unlock valuable insights with high-quality GIS data.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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Download Animal Hospitals Data (Shapefile, KML, GeoJSON, GIS Formats)

GIS Data by MAPOG is a powerful platform that allows users to download Animal Hospitals Data in various formats, including Shapefile, KML, GeoJSON, and MID. The platform provides an intuitive interface to access comprehensive geographic datasets that support mapping, analysis, and planning. Whether you’re a GIS professional or an enthusiast, MAPOG simplifies the data extraction process for better decision-making.

Why Animal Hospitals Data Matters

Animal hospitals play a vital role in providing healthcare for pets and wildlife. Their locations, services, and availability are crucial for veterinarians, pet owners, and emergency responders. With GIS Data by MAPOG, users can access up-to-date and accurate geographic information about animal hospitals worldwide. This data aids in spatial analysis, resource allocation, and service optimization in veterinary care.

Download Animal Hospitals Data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Animal Hospitals Data

Step 1: Search for Animal Hospitals Data

Begin by selecting your desired country in the GIS Data by MAPOG interface. Use the search layer option to locate “Animal Hospitals Data” data. Users can check whether the dataset is formatted as points, polygons, or lines, depending on their mapping needs.

Download Animal Hospitals Data
Download Animal Hospitals Data

The “Try AI” feature, located in the upper left corner, streamlines the data search process. Simply enter “Animal Hospitals Data” along with the preferred location, and the AI tool will generate relevant datasets within seconds.

Download Animal Hospitals Data
Step 3: Apply Filters for Precision

Refine your search by filtering data based on state, district, or city. This feature ensures users get detailed and location-specific data, making GIS mapping more precise and relevant.

Download Animal Hospitals Data
Step 4: Visualize Data on a Map

The “Add on Map” feature lets users overlay Animal Hospitals Data onto a live GIS map. This helps analyze spatial relationships and trends, making the data more actionable.

Download Animal Hospitals Data
Step 5: Download Data in Your Preferred Format

Click the “Download Data” button and select from over 15+ GIS formats, including Shapefile, KML, GeoJSON, MID, and more. Choose between a sample dataset or the full version, agree to the terms, and initiate the download.

Download Animal Hospitals Data

Final Thoughts

Download Animal Hospitals Data effortlessly with GIS Data by MAPOG. Whether for urban planning, veterinary services, or research, this platform provides high-quality GIS datasets in multiple formats. Start mapping animal healthcare services today and enhance your spatial analysis with accurate and reliable GIS data.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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