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

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.

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.

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.

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.

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
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.

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.

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.

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.

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:


Online GIS data Conversion |Converting GeoJSON to KMZ

In this guide, we’ll walk you through how to efficiently convert your GeoJSON files to KMZ using the powerful Converter Tool in MAPOG. Whether you’re a beginner or an experienced user, Converting GeoJSON to KMZ with MAPOG, this tutorial will help you understand the process in easy steps.

Key Concept to Converting files

The Converter Tool is a feature in MAPOG that helps you change your data from one format to another. It’s like magic! You give it your data in one form, and it transforms it into another form that you need for your analysis. Additionally, with GIS Data, you can download data in any format, making it versatile and adaptable for various applications.

Online GeoJSON to KMZ GIS Converter

Step 1: Upload the Data

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

2. Upload your GeoJSON file. This is your starting point where you provide the data that needs conversion.

Step 2: Select the Format for Conversion

1. Choose the output file format as KMZ. The tool offers various formats, but for this guide, we are focusing on converting to KMZ.

2.You can also set the CRS at this stage.

Step 3: Run the Conversion

Click ‘Convert Files’ and let the tool work its magic. The Converter Tool processes your data, transforming it from GeoJSON to KMZ format.

Step 4: Review and Download

Finally, review your converted KMZ data to ensure it looks right. Once satisfied, download the converted file. This step is crucial to verify that the conversion has been successful and the data integrity is maintained.

And there you have it! You’ve successfully used the Converter Tool in MAPOG to convert your GeoJSON files to KMZ. Now you can easily convert your data for all your analysis needs. This feature simplifies the process of handling different data formats, making your workflow more efficient and effective.

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.

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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
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.

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.

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.

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.

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
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.

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.

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.

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.

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
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.

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.

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.

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.

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 KMZ Online: A Step-by-Step Guide

In Geographic Information Systems (GIS), converting data from one format to another is crucial for ensuring compatibility across different platforms. CSV is a simple format for tabular data, while KMZ is a compressed version of KML, used to represent geographic data in applications like Google Earth and Google Maps. Converting CSV to KMZ allows you to visualize and share your data.

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 KMZ

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 KMZ format using MAPOG.

Step-by-Step Guide to Converting CSV to KMZ

Step 1: Upload Your CSV Data

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

Upload the Data

Step 2: Choose KMZ as the Output Format

From the list of available formats, select KMZ as the output. KMZ is ideal for compressing your geographic data into a single, portable file that can be easily shared and opened in Google Earth and similar platforms.

Choose KMZ as output Format

Step3: Execute the Conversion

Once you’ve selected KMZ as the output format and configured any additional settings, initiate the conversion by clicking the “Convert” button. The MAPOG tool will process your CSV file and generate a KMZ file that accurately represents the geographic data in a compressed format.

Execute the Format

Step 4: Review and Download the KMZ File

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

Review the Data

Conclusion:

The MAPOG Converter Tool is an invaluable 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 KMZ format, making your data ready for visualization, sharing, and distribution in a compressed, portable form. If you need to download any data file in CSV or in any other formats like SHP, DXF. 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.

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 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.

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.

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.

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.

Here are some blogs you might be interested in:

Convert KMZ to GPS Online: A Step-by-Step Guide

KMZ is a popular format for sharing map data in Google Earth, containing geographic information and annotations like waypoints, paths, and polygons.

What is KMZ?

KMZ is a compressed version of a KML (Keyhole Markup Language) file, used to store geographic data for display in applications like Google Earth. It contains location-based information, such as points, lines, and polygons, along with additional elements like images or 3D models. The KMZ format keeps everything in a single, compact file, making it easy to share or upload geographic data with multimedia elements.

                                           ONLINE GIS DATA CONVERSION

Key Concept for Conversion KMZ to GPS:

 The MAPOG Converter Tool provides a simple and efficient way to convert KMZ files to GPS formats. Below is a detailed step-by-step guide to help you convert KMZ to GPS using MAPOG.

Step-by-Step Guide to Converting KMZ to GPS

Step 1: Upload the KMZ File
Navigate to the “Process Data” section of the MAPOG MapAnalysis platform. Select the “Converter Tool” option. Upload your KMZ file by clicking the “Upload” button. Make sure that your KMZ file is well-organized and contains all relevant geographic data, such as routes and waypoints.

Upload the Data

Step 2: Select the Output Format (GPS)
After uploading the KMZ file, choose GPS as the output format. GPS devices for exchanging location data, including waypoints, tracks, and routes.

Select the Format

Step 3: Specify the Coordinate Reference System (CRS)
To maintain geographic accuracy during the conversion, choose the appropriate CRS for your data. Ensuring that the CRS matches the spatial reference system of your KMZ file will prevent distortions in the final GPS data.

Choose the Output CRS

Step 4: Start the Conversion Process
Once the KMZ file is uploaded, the format is selected, and the CRS is set, click the “Convert” button. The MAPOG Converter Tool will convert the KMZ file into GPX format, keeping all the relevant waypoints, routes, and tracks intact.

Start the Conversion

Step 5: Review and Download the GPX File
After the conversion is complete, review the output to confirm that the data was converted accurately. Once satisfied, download the GPX file, which can now be loaded into GPS devices or mapping software for navigation and data analysis.

Review the Data

Conclusion :

The KMZ to GPS conversion procedure is made quick and easy with the help of the MAPOG Converter Tool. These instructions make it simple to convert KMZ files into a format that is compatible with GPS devices, ensuring that your geospatial data is ready for use in mapping, navigation, and fieldwork applications.

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.

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Convert GIS Data ONLINE KMZ to XLSX

In this guide, we’ll walk you through how to efficiently convert your KMZ files to XLSX using the powerful Converter Tool in MAPOG. Whether you’re a beginner or an experienced user, Converting KMZ to XLSX with MAPOG, this tutorial will help you understand the process in easy steps.

Key Concept of Converting files

The Converter Tool is a feature in MAPOG Map Analysis that helps you change your data from one format to another. It’s like magic! You give it your data in one form, and it transforms it into another form that you need for your analysis. Additionally, with GIS Data, you can download data in any format, making it versatile and adaptable for various applications.

Now, let’s walk through the simple steps of using the Converter Tool to Converting KMZ to XLSX with MAPOG.

Step 1: Upload the Data

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

2.Upload your KMZ file. This is your starting point where you provide the data that needs conversion.

Step 2: Select the Format for Conversion

1.Choose the output file format as XLSX. The tool offers various formats, but for this guide, we are focusing on converting to XLSX.

2.You can also set the CRS at this stage.

Step 3: Run the Conversion

Click ‘Convert’ and let the tool work its magic. The Converter Tool processes your data, transforming it from KMZ to XLSX format.

Step 4: Review and Download

Finally, review your converted XLSX data to ensure it looks right. Once satisfied, download the converted file. This step is crucial to verify that the conversion has been successful and the data integrity is maintained.

And there you have it! You’ve successfully used the Converter Tool in MAPOG Map Analysis to convert your KMZ files to XLSX. Now you can easily convert your data for all your analysis needs. This feature simplifies the process of handling different data formats, making your workflow more efficient and effective.

Explore Our Other Blogs

  1. TopoJSON to KMZ
  2. GML to TopoJSON
  3. GML to GeoJSON
  4. KMZ to KML
  5. GML to KML
  6. GML to KMZ
  7. KMZ to GML
  8. TopoJSON to KML
  9. GeoJSON to CSV
  10. GeoJSON to TopoJSON
  11. TopoJSON to GML
  12. KMZ to MIF
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