Download Public Transport Platform Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured public transport information? Now you can Download Public Transport Platform Data with ease using GIS Data by MAPOG. This intuitive platform supports over 15 GIS formats including Shapefile, KML, GeoJSON, MID, and more—ensuring compatibility with most modern GIS tools. Whether you’re involved in transit planning, infrastructure development, or urban mobility studies, MAPOG offers a reliable way to access and analyze Public Transport Platform data for smarter mapping decisions.

How to Download Public Transport Platform Data

MAPOG has streamlined the entire process to help users quickly access Public Transport Platform datasets from hundreds of layers globally. Supporting a wide range of formats like SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, GPX, and more, the platform caters to both technical and analytical needs.

Download Public Transport Platform 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 Public Transport Platform Data

Step 1: Search for Public Transport Platform Data

Begin by selecting your area of interest within the MAPOG interface. Use the “Search Layer” option to find “Public Transport Platform” data. Review the dataset details to check if the data is in point or polygon geometry format.

Download Public Transport Platform Data
Download Public Transport Platform Data

Leverage MAPOG’s “Try AI” tool to make your search even quicker. Just enter phrases like “bus platforms in city” or “public transport access points,” and let the AI fetch the most relevant data layers instantly.

Download Public Transport Platform Data
Step 3: Refine Using Filter Data

For more targeted results, apply filters based on district, state, or urban zones. This step helps eliminate unnecessary data and ensures you’re working with only the most relevant Public Transport Platform information.

Download Public Transport Platform Data
Step 4: Visualize with Add on Map

Want to preview your data before downloading? Use the “Add on Map” feature to load the selected dataset onto MAPOG’s interactive map interface. This allows for a visual check of platform distribution, spatial relationships, and accessibility, which is useful for transport planning and analysis.

Download Public Transport Platform Data
Step 5: Download the Data

Once satisfied, click “Download Data.” You’ll have the choice between sample and full datasets. Select your preferred format—Shapefile, KML, MID, or others—accept the terms, and begin your download.

Download Public Transport Platform Data

Final Thoughts

MAPOG makes it incredibly easy to Download Public Transport Platform Data in the format that best suits your project. With its AI-enhanced search, rich filtering options, and multiple export formats, the platform empowers researchers, urban planners, and GIS analysts to make informed decisions with high-quality data. Whether for mapping, modeling, or infrastructure analysis, GIS Data by MAPOG is your go-to resource to Download Public Transport Platform Data efficiently and accurately.

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 Construction Sites Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured location data of construction activity? Download Construction sites Data easily using GIS Data by MAPOG. This intuitive platform supports over 15+ GIS formats including Shapefile, KML, GeoJSON, and MID, enabling compatibility across popular GIS software. Whether you’re engaged in infrastructure planning, monitoring urban expansion, or conducting land-use analysis, MAPOG offers detailed and reliable construction site datasets that support efficient decision-making and mapping tasks.

Why Construction Sites Data Matters

Construction sites represent areas where new structures are being built or existing ones are undergoing significant changes. These locations are vital for urban planners, real estate analysts, environmental consultants, and development authorities. With the right data, professionals can assess developmental density, identify growth trends, and evaluate impact on surrounding zones.

Download Construction Sites 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 Construction Sites Data

Step 1: Search for Construction Sites Data

Begin by selecting your desired region from the GIS Data by MAPOG platform. Use the built-in search tool to look for “Construction Sites.” Datasets may include point or polygon geometries depending on how the information was mapped.

Download Construction sites Data
Download Construction Sites Data
Step 2: Use the AI-Powered Search Tool

MAPOG’s “Try AI” search assistant speeds up the process. Enter terms like “construction activity in zone” or “urban development sites,” and the AI tool will fetch the most relevant datasets for you—perfect when time or specificity is key.

Download Construction sites Data
Step 3: Filter for Precision

To narrow down your results, apply the “Filter Data” option. This helps you sort construction data by city blocks, local authorities, or planning zones, giving you a refined dataset tailored to your needs.

Download Construction sites Data
Step 4: Visualize Data on Interactive Map

Click “Add on Map” to instantly view your selected construction data overlaid on a live map. This visualization aids in understanding spatial distribution, construction clusters, and nearby infrastructures, allowing for more informed analysis.

Download Construction sites Data
Step 5: Download Construction Sites Data

Once you’ve verified the dataset, proceed to download. Choose your preferred format—be it Shapefile, KML, MID, GeoJSON, or others—and opt for either a sample preview or the complete dataset. Accept the terms, and your download will be ready in seconds.

Download Construction sites Data

Final Thoughts

In a world where spatial awareness and development monitoring are critical, Download Construction sites Data using GIS Data by MAPOG to stay ahead. The platform simplifies the retrieval of comprehensive construction datasets for planners, GIS analysts, and researchers alike. With its robust features and multiple export formats, it empowers users to conduct thorough analysis, plan efficiently, and visualize construction patterns with ease.

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 Drop-in Centers Data in Shapefile, KML, MID +15 GIS Formats

Looking to Download Drop-in Centers Data for your next GIS project or planning initiative? With GIS Data by MAPOG, accessing reliable, up-to-date geographic datasets is simple and efficient. Whether you’re working in the fields of social welfare, community health outreach, or urban resource mapping, this platform supports over 15 GIS formats including Shapefile, KML, MID, and GeoJSON—ensuring smooth compatibility with major GIS tools and software.

How GIS Data by MAPOG Works?

MAPOG’s intuitive system simplifies the process of discovering, visualizing, and downloading location-based datasets. It supports users with advanced tools like AI-assisted search, layer visualization, and customizable format options. Whether you’re analyzing accessibility or planning expansion, you can easily download Drop-in Centers Data for more informed spatial analysis.

Download Drop-in Centers 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 Drop-in Centers Data

Step 1: Search for Drop-in Centers Data

Begin by logging into the GIS Data by MAPOG portal. Use the search layer function and type in “Drop-in Centers Data.” Review the attributes available—data may appear as points or polygons, depending on how it has been collected and categorized.

Download Drop-in Centers Data
Download Drop-in Centers Data
Step 2: Try the AI Search Tool

Use MAPOG’s built-in “Try AI” feature to quickly find relevant datasets. Enter phrases like “Drop-in centers near me” or “Community shelters,” and the tool will auto-suggest matching layers, saving you time and effort.

Download Drop-in Centers Data
Step 3: Apply Filters for Targeted Results

Narrow your results using the Filter Data option. This allows users to search by state or district, enabling deeper exploration within a region. Whether you’re working locally or across multiple jurisdictions, this feature ensures data accuracy and relevance.

Download Drop-in Centers Data
Step 4: Visualize with “Add on Map”

Click on “Add on Map” to view your selected data on MAPOG’s interactive GIS interface. This lets you analyze spatial distribution, evaluate service gaps, and understand proximity to other key facilities—all in real time.

Download Drop-in Centers Data
Step 5: Download Drop-in Centers Data

Once you’re satisfied with your selection, click on “Download Data.” Choose from sample or full datasets and select from formats like Shapefile, KML, MID, CSV, GeoJSON, DXF, or SQL, among others.

Download Drop-in Centers Data

Final Thoughts

With powerful tools, smart filters, and diverse format options, GIS Data by MAPOG makes it seamless to download Drop-in Centers Data for any kind of mapping, analysis, or planning task. Whether you’re a researcher, urban planner, social worker, or GIS professional, this platform equips you with the spatial intelligence needed to make meaningful, data-driven decisions.

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 Historical Monuments Data in Shapefile, KML, MID +15 GIS Formats

Looking to explore or map culturally significant sites? Download Historical Monuments Data quickly and accurately using GIS Data by MAPOG. This intuitive platform offers data in over 15 GIS formats—including Shapefile, KML, GeoJSON, and MID—ensuring compatibility with major GIS tools. Whether you’re engaged in heritage conservation, academic research, urban planning, or tourism development, this tool provides well-structured, ready-to-use datasets that support detailed spatial analysis and visualization.

How to Download Historical Monuments Data

GIS Data by MAPOG offers a robust way to explore and download monument data from hundreds of geographic layers. The system supports a wide variety of file formats—such as KML, SHP, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—making it a preferred choice for GIS professionals, developers, and researchers alike.

Download Historical Monuments 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 Historical Monuments Data

Step 1: Search for Historical Monuments Data

Begin by selecting the region of interest within the MAPOG interface. Use the “Search Layer” function and look for “Historical Monuments Data.” Depending on the dataset, the information may appear as points or polygons, representing locations or boundaries.

Download Historical Monuments Data
Download Historical Monuments Data
Step 2: Use the AI Search Tool

Let MAPOG’s “Try AI” assist you. Simply input keywords like “Monuments near me” or “Heritage sites,” and the AI tool will present the most relevant layers. This feature not only saves time but also enhances search accuracy.

Download Historical Monuments Data
Step 3: Apply Data Filters

Fine-tune your search using the Filter Data option. You can narrow the dataset by selecting specific states and districts. For nationwide datasets, this feature enables deep-level filtering—making it easier to locate and analyze monuments based on administrative boundaries.

Download Historical Monuments Data
Step 4: Visualize with ‘Add on Map’

Click the Add on Map option to overlay the selected layer onto the GIS map analysis interface. This allows for better visualization and spatial examination of monument locations, clustering, accessibility, and relation to nearby landmarks or infrastructure.

Download Historical Monuments Data
Step 5: Download Historical Monuments Data

Once you’ve finalized your dataset, click “Download Data.” Choose whether to download a sample or the full dataset. Select your desired format—Shapefile, KML, GeoJSON, MID, or others—accept the usage terms, and download your data for offline or project use.

Download Historical Monuments Data

Final Thoughts

With MAPOG’s powerful GIS platform, the ability to download Historical Monuments Data becomes efficient and user-friendly. The platform caters to diverse GIS applications, offering detailed insights and flexibility in how data is accessed and applied. Whether you’re a cultural researcher, urban planner, or GIS enthusiast, MAPOG ensures that heritage-focused spatial data is always within reach.

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 Fast Food Restaurant Data in Shapefile, KML, MID +15 GIS Formats

Looking to map the spread of fast food chains or analyze urban food landscapes? Download Fast Food Restaurant Data easily and efficiently using GIS Data by MAPOG. This powerful and intuitive platform supports multiple GIS formats such as Shapefile, KML, GeoJSON, MID, and more—making it compatible with various GIS tools for both beginners and experts. Whether you’re studying urban sprawl, planning zoning policies, or exploring consumer patterns, MAPOG delivers accurate, location-based datasets to meet your analytical needs.

How to Download Fast Food Restaurant Data

GIS Data by MAPOG has simplified the entire process of acquiring restaurant datasets from across the globe. With over 900+ thematic layers and coverage in more than 200 regions, the platform allows you to download data in formats like SHP, KML, CSV, SQL, DXF, MIF, GPX, TOPOJSON, and more. This versatility makes it ideal for use in ArcGIS, QGIS, Google Earth, and other GIS software.

Download Fast Food Restaurant 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 Fast Food Restaurant Data

Step 1: Search for Fast Food Restaurant Data

Begin by entering the platform and selecting your area of interest. Use the “Search Layer” option and type “Fast Food Restaurant Data” to locate relevant datasets. Preview the data type—most will be in point format with essential attributes like name, location, and category.

Download Fast Food Restaurant Data
Download Fast Food Restaurant Data
Step 2: Use the AI Search Tool

Save time by using MAPOG’s “Try AI” feature. Just type something like “Fast food outlets near city center” and let the AI assist you in finding accurate and contextual datasets without manual filtering.

Download Fast Food Restaurant Data
Step 3: Apply State and District Filters

Need more refined data? Use the Filter Data option to narrow results by specific states or districts. This is especially useful for those who want to focus on micro-level planning or regional market research.

Download Fast Food Restaurant Data
Step 4: Visualize with “Add on Map”

With the Add on Map feature, you can view the selected fast food restaurant data directly on the GIS interface. This enables deeper spatial analysis—like identifying clusters, gaps in service areas, or proximity to residential zones.

Download Fast Food Restaurant Data
Step 5: Download Fast Food Restaurant Data

Finally, click “Download Data” once your dataset looks good. You’ll have the option to choose a sample or full version, select your preferred format (such as Shapefile, KML, MID, GeoJSON, etc.), and proceed with the download after agreeing to the terms.

Download Fast Food Restaurant Data

Final Thoughts

Using GIS Data by MAPOG, you can download Fast Food Restaurant Data quickly and in a format that suits your GIS workflow. From urban researchers and business analysts to geography enthusiasts, everyone can benefit from this rich, location-based resource. Thanks to MAPOG’s clean interface, advanced search tools, and diverse export options, gathering food infrastructure data for analysis has never been this seamless.

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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Convert CSV to KML Online: A Step-by-Step Guide

In Geographic Information Systems (GIS), converting data from one format to another is crucial for ensuring that geospatial data is compatible across different platforms. Converting CSV to KML allows you to visualize and share your data in a geospatial context.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

                                   ONLINE GIS DATA CONVERSION

Key Concept for Conversion CSV TO KML:

The MAPOG Converter Tool is designed to make data conversion between various formats seamless and user-friendly. Below is a guide on how to convert CSV files to KML format using MAPOG.

Step-by-Step Guide to Converting CSV to KML

Step 1: Upload Your CSV Data

First, go to the “Process Data” section in MAPOG MapAnalysis and select the “Converter Tool” option. Make sure your CSV file is properly organized, with columns representing the necessary attributes such as coordinates (latitude and longitude) and any additional data fields.

Convert CSV to KML Online
Upload the Data

Step 2: Choose KML as the Output Format

From the list of available formats, select KML as the output. KML is ideal for visualizing geographic data on platforms like Google Earth, where it can be easily shared and viewed.

Convert CSV to KML Online
Choose the KML Format

Step 3: Execute the Conversion

Once you’ve configured the necessary settings, initiate the conversion by clicking the “Convert” button. The MAPOG tool will process the CSV file and generate a KML file that includes all the geographic data mapped accurately.

Convert CSV to KML Online
Execute the Conversion

Step 4: Review and Download the KML File

After the conversion is complete, review the KML file to ensure all data has been correctly transformed. Once satisfied, download the KML file. It is now ready to be used in Google Earth, Google Maps, or any other platform that supports KML.

Convert CSV to KML Online
Review the Data

Conclusion:

The MAPOG Converter Tool is an essential resource for GIS professionals and enthusiasts, simplifying the process of converting data into various geospatial formats. By following these steps, you can efficiently convert CSV files to KML format, making your data ready for visualization and sharing on popular mapping platforms. If you need to download any data file in CSV or in any other formats like KML, SHP. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool:
Story by MAPOG:

MAPOG is an engaging tool that brings geographical data to life through interactive maps and narratives. Imagine combining detailed maps with photos, videos, and text to tell captivating stories about places, events, or trends. Whether you’re showcasing beautiful landscapes, tracking environmental changes, or exploring cultural sites, Story by MAPOG makes it easy to guide viewers through a visual journey. It’s perfect for educators, travel enthusiasts, or anyone who wants to make their data-driven stories interactive and visually compelling.

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Download Pipeline data in Shapefile, KML , Tiff +15 GIS format – Filter and download

GIS Data by MAPOG is a versatile platform designed to provide users with easy access to a wide range of GIS Data formats, such as Shapefile, KML, GeoJSON, and many more. The platform offers a user-friendly interface for downloading both administrative and geographic data sets and other datasets like pipeline data, allowing users to effortlessly locate and utilize data tailored to their specific needs.

Understanding the Process

Downloading pipeline data using GIS Data by MAPOG is a simple and efficient process, requiring users to select their preferred data format, such as Shapefile or KML, suitable for various GIS applications. The platform encompasses data from over 200+ countries, with access to more than 900+ layers. It streamlines the downloading procedure by offering a step-by-step guide, enabling users to quickly obtain the data required for analysis, planning, or mapping tasks.

An extensive range of data formats is available, including KML, SHP, CSV, GeoJSON, Tab, SQL, TIFF, GML, KMZ, GPKG, SQLITE, DXF, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for numerous applications and analytical needs.

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 Process to Download Pipeline Data

Step 1: Access GIS Data

Begin by logging into MAPOG with a valid email address. Once successfully logged in, navigate to the GIS data section to begin your search.

Download Pipelines Data
Step 2: Search for ‘Pipeline Data’

After accessing the GIS Data interface, select the country from which you wish to download data. Use the search layer option to look for the desired layer, such as “pipelines“. Review the data, its attributes, and its format (e.g., point or polygon). You can also utilize the “Try AI” tool located in the upper left corner to simplify your search—just specify the data you need and the area, and the tool will provide the corresponding data.

Download Pipelines Data
Download Pipeline Data
Step 3: Filter Data

Use the filter data option to refine your search by selecting specific states and districts. This feature allows for the location of more precise geographic information, enabling a deeper dive into data, such as narrowing down to specific states or districts. It enhances the accuracy and relevance of the data for targeted analysis or mapping.

Download Pipelines Data
Step 4: Add on Map

Leverage the “Add on Map” feature to overlay the selected pipeline data onto the MAPOG interface for further investigation. This function helps users visualize spatial relationships and patterns, enhancing decision-making in GIS projects. You can add the dataset to a new map or include it in an existing map.

Download Pipelines Data
Step 5: Download Data

Click on the “Download Data” button. Choose between downloading sample data or the full dataset, depending on your needs. Then, select the desired format from the available options—Shapefile, KML, GeoJSON, or any of the other 15+ supported GIS formats. After agreeing to the terms and conditions, click on the download button again to complete the process, and your data will be downloaded.

Download Pipelines Data
Conclusion

Downloading pipeline data in multiple GIS formats from GIS Data by MAPOG is an uncomplicated and efficient process, facilitated by a series of easy steps. This platform enables access to accurate and current geographic data in numerous formats, providing flexibility and support for a wide array of planning, mapping, and analytical applications.

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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Convert KML to GML Online

Convert KML to GML effortlessly with MAPOG. Streamline your geographic data transformation for enhanced spatial analysis and interoperability.

Transforming your GIS data by converting KML to GML can make it easier to analyze, share, and integrate into various GIS applications. In this guide, we’ll walk you through the process of efficiently converting your KML files to GML using the powerful Converter Tool in MAPOG Map Analysis. Whether you’re a beginner or an experienced user, this tutorial will help you understand the process in easy steps.

Converting KML to GML with MAPOG
Converting KML to GML with MAPOG

Key Concept of Converting Files

The Converter Tool in MAPOG helps you change your data from one format to another effortlessly. You input your data in one form, and it transforms it into another form that you need for your analysis. This versatility allows you to download and use data in various formats, making it adaptable for different applications.

Steps to Convert KML to GML GIS Data File

Step 1: Upload the Data

Access the Converter Tool: Click on the “Process Data” menu and choose the “Converter Tool” option.

Access the Converter Tool-Converting KML to GML with MAPOG
Access the Converter Tool

Upload Your KML File: This is your starting point where you provide the data that needs conversion.

Upload Your KML File-Converting KML to GML with MAPOG
Upload Your KML File

Step 2: Select the Format for Conversion

Choose the Output File Format: Select GML as the output file format. The tool offers various formats, but for this guide, we focus on converting to GML.

Choose the Output File Format
Choose the Output File Format

Set the CRS (Coordinate Reference System): You can also set the CRS at this stage to ensure your data aligns correctly with your spatial analysis requirements.

Set the CRS (Coordinate Reference System)
Set the CRS (Coordinate Reference System)

Step 3: Run the Conversion

Start the Conversion Process: Click ‘Convert’ and let the tool work its magic. The Converter Tool processes your data, transforming it from KML to GML format.

Start the Conversion Process-Converting KML to GML with MAPOG
Start the Conversion Process

Step 4: Review and Download

Review the Converted Data: Check your converted GML data to ensure it looks right. This step is crucial to verify that the conversion has been successful and the data integrity is maintained.

Review the Converted Data-Converting KML to GML with MAPOG
Review the Converted Data

Download the Converted File: Once satisfied, download the converted file.

And there you have it! You’ve successfully used the Converter Tool in MAPOG Map Analysis to convert your KML files to GML. Now you can easily convert your data for all your analysis needs, simplifying the process of handling different data formats and making your workflow more efficient and effective. For any queries, please contact us at support@mapog.com.

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Convert SQLITE to KML : A Complete Guide of online GIS data converter

In this guide, it will provide step by step of how to convert SQLITE to KML format with the help of Converter Tool in MAPOG. So, both if you are a first-time user and a regular one, Converting SQLITE to KML  with MAPOG, the entire process will be explained in simple steps for you.

Key Concept to Converting Files:

The Converter Tool in MAPOG functions to transform data from one format to another like for this case convert SQLITE to KML, it’s like a magical process. You input the  data in one format, and it will provide the outputs in a different format suitable for your analysis. Additionally, GIS Data can be downloaded in various formats, making it adaptable for multiple uses.

Online GIS Data Conversion

Step 1: Upload the Data:

  1.  Go to “Process Data” and click on “Converter Tool” option.
SQLITE to KML

2. Upload your SQLITE file. This is your entry point where you feed in the information that needs conversion.

SQLITE to KML

Step 2: Select the Format for Conversion:

  1. Select the output format as KML if you want to expatriate only the data. The tool provides several options in arriving at the result but for this guide, we are using the option to convert the file to KML.
SQLITE to KML

2. You can also set the Output CRS as per your need.

SQLITE to KML

Step 3: Run the Conversion:

Go to ‘Convert Files’ and watch the tool at work. Working with the Converter Tool you input your data and then the tool converts it from the SQLITE format to the KML format.

SQLITE to KML

Step 4: Review and Download:

Take a moment to review your converted KML data to make sure everything looks correct. Once you’re happy with it, go ahead and download the file. This step is really important to ensure that the conversion worked properly and that all your data is intact.

SQLITE to KML

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

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Merge polygons features online using IGISMap

In GIS data, a geographic area is represented in a polygon shape. Geospatial features such as administrative boundaries are digitized in the polygon vector model. In some cases, we need to merge the polygon features based on attribute values or location. After merging, input polygons will merge into a single polygon feature assigned with a single row to store attribute values. When the adjacent polygons with common border lines are merged, they combine to form a single polygon. Through merge functionality, we can create any primary-level administrative boundaries like national boundaries from the secondary level divisions like state or district level boundaries. So here in this article, we are providing steps to merge polygons features online in a single layer.

Merging is a common geoprocessing used in GIS projects for two important cases. One is to merge multiple GIS features into single GIS feature within a GIS data itself. Another application is to merge multiple GIS data into single GIS data. In both cases, geometry entity of the input GIS feature or GIS data should be same ie., either point, polyline or polygon.

IGISMap provides Merge Polygons tool to merge multiple polygon features of a polygon GIS data into single polygon feature. IGISMap is a GIS-based web platform, that provides multiple GIS applications that are most important in the field of geospatial analytics. The peculiarity of IGISMAP in the GIS Industry is its user interface which helps the user to perform effortless geospatial operations. Merge Polygons tool is very easy to use and you can merge the required polgons in just two steps.

In this article we will create the national boundary of USA by merging the polygons of state boundaries. Without further due, lets dive into Merge Polygons tool.

Click https://map.igismap.com/merge-polygon to open Merge Polygons tool.

Add your data

After opening Merge Polygons tool, first step is to add or upload polygon GIS data. Here we will choose Upload Data option to upload the data from your personal computer. Then, click on the Browse button to open the browsing box, where you will choose the file from your pc. In this article, we will be uploading a polygon GIS data of USA state level boundaries.

Upload Data
Upload Data

After opening the file, click the Upload button to start the upload process.

Uploading GIS data
Uploading GIS data

Check the article Add / Upload polygon GIS data and merge required polygon features to understand how to use IGISMap GIS data in Merge Polygons tool.

Select polygons using Lasso Tool

When uploading is complete, polygon GIS data of USA state level boundaries will be published in the map. This data will be selected as the input data for carying out the merge operation.

Select Lasso Tool
Select Lasso Tool

You can access this same data from IGISMap GIS Data collection through Add GIS Data option provided in the Data Selection section.

Click https://map.igismap.com/add-gis to access Add GIS Data tool directly

Click below to download polygon GIS data of USA state level boundaries

Download USA State Level Boundaries Shapefile

Next step is to select the required polygon features from the input polygon data. IGISMap provides two options to select the polygons. They are – Lasso Tool and Select Manually. Lasso Tool option is suitable to selecte large number of polygon features, hence we will select Lasso Tool tab.

Lasso Tool will open the list of modes to draw a polygon over the required polygon features. These are Draw Polygon With Free Hand, Draw Circle, Draw Rectangle, and Draw Polygon. Select Draw Polygon and draw a polygon intersecting all the polygons of the states.

Draw Polygon using Lasso Tool
Draw Polygon using the Lasso Tool

Polygon features of the input polygon GIS data that intersected by the lasso polygon will be selected for merging. Then click Submit to start merging.

Polygons selected using Lasso tool
Polygons selected using Lasso tool

Output polygon

After submitting, merged polygon GIS data of USA national ouline boundary is published in the map, as shown below

Merged Layer
Merged Layer

In the above article we uploaded polygon GIS data and merge polygons features online. But if you have point data you can also convert it into polygon by point to polygon conversion feature of IGISMap Tool. This is good if you have point data. If you don’t have data you can Create Point Data using our tool.

Check the article Share your Map to understand the Share Map feature of IGISMap.

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Check the following IGISMap tools: