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Download Electric Vehicle Charging Station Data in Shapefile, KML, GeoJSON, and More

The rise of electric vehicles (EVs) has increased the need for accurate mapping of charging stations. To facilitate location-based analysis, GIS Data by MAPOG allows users to download Electric Vehicle Charging Station data in multiple formats, including Shapefile, KML, MID, and 15+ GIS formats. The platform offers a seamless experience, making it easier to obtain high-quality spatial data for mapping, planning, and analysis.

Simplified Access to EV Charging Station Data

GIS Data by MAPOG provides a user-friendly interface to download EV charging station data efficiently. With a wide range of administrative and geographic datasets, users can explore and analyze charging station locations worldwide. The platform supports multiple GIS data formats, ensuring compatibility with leading mapping tools.

Download Electric Vehicle Charging Station 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 Electric Vehicle Charging Station Data

Step 1: Search for ‘Electric Vehicle Charging Station Data’

Start by selecting the country of interest within the GIS Data interface. Use the search layer feature to locate Electric Vehicle Charging Station Data. Review details such as whether the dataset is formatted as a point or polygon, ensuring it aligns with your analysis needs.

Download Electric Vehicle Charging Station Data
Download Electric Vehicle Charging Station Data
Step 2: Try the AI Feature Tool

Enhance your search experience using the “Try AI” tool, positioned in the upper left corner. Simply enter your data requirement and location, and the AI will retrieve the most relevant Electric Vehicle Charging Station Data, saving time and improving search accuracy.

Download Electric Vehicle Charging Station Data
Step 3: Filter Data for Precise Insights

Utilize the filter feature to narrow down datasets by state, district, or city, refining your search for more granular and relevant results. This is particularly beneficial for urban planners and businesses seeking charging infrastructure details for specific regions.

Download Electric Vehicle Charging Station Data
Step 4: Add Data to the Map

Integrate Electric Vehicle Charging Station Data into your GIS project using the “Add on Map” function. This visualization feature enables users to overlay data, analyze spatial relationships, and gain deeper insights into charging station distribution and accessibility.

Download Electric Vehicle Charging Station Data
Step 5: Download Data in Multiple GIS Formats

Click the “Download Data” button to access the dataset. Choose between downloading a sample file or the full dataset, depending on project requirements. Select the preferred format from Shapefile, KML, MID, GeoJSON, and 15+ supported formats. Agree to the terms and conditions, then confirm the download to complete the process.

Download Electric Vehicle Charging Station Data

Conclusion

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 Townhall Data in Shapefile, KML, GeoJSON & More for Urban Planning and Governance

Need accurate and structured data for administrative infrastructure? Download Townhall Data easily using GIS Data by MAPOG — a robust platform designed to support urban planning, governance, and civic infrastructure analysis. Townhalls, as administrative buildings for local governments, play a crucial role in managing civic services, hosting council meetings, and engaging with citizens. With MAPOG, accessing geospatial datasets of townhall locations becomes smooth, reliable, and highly customizable, thanks to its support for over 15 GIS formats including Shapefile, KML, GeoJSON, and MID.

Why Use MAPOG to Download Townhall Data?

GIS Data by MAPOG is built to simplify geospatial data collection. It caters to planners, researchers, civic authorities, and GIS professionals by offering downloadable datasets that align with various GIS software. Whether you’re working on a local governance project, spatial urban study, or service accessibility model, you can download Townhall Data from MAPOG in your preferred format with ease.

Download Townhall 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 Townhall Data

Step 1: Search for Townhall Data

To get started, navigate to GIS Data by MAPOG and use the search feature to locate “Townhall Data.” Each layer comes with rich metadata — you can quickly identify if the data is in point, polygon, or multipoint format based on the available attributes.

Download Townhall Data
Download Townhall Data

Not sure where to look? MAPOG offers an AI-assisted search feature called “Try AI.” Just type queries like “Townhall locations” or “Townhall data for selected area” and let the AI engine retrieve the most relevant datasets. This reduces search time and increases accuracy in dataset discovery.

Download Townhall Data
Step 3: Filter by Region

The Filter Data option helps users refine their search further. You can narrow datasets down by selecting specific states, districts, or city levels. For instance, if the main dataset covers an entire country or region, this tool allows you to extract more localized information relevant to your analysis.

Download Townhall Data
Step 4: Visualize Using “Add on Map”

The “Add on Map” button lets you overlay selected townhall datasets directly on the GIS interface. This helps you visualize their geographic distribution and spatial relationships instantly. It’s a crucial step for those who want to examine patterns, density, or service coverage zones before downloading the files.

Download Townhall Data
Step 5: Download Townhall Data

Once the appropriate dataset is selected and verified on the map, proceed to download. You can choose between a sample version or full dataset. Then, pick the file format you need — such as Shapefile, KML, GeoJSON, MID, or others — agree to the usage terms, and download with a single click. The files are instantly ready for integration into your GIS workflow.

Download Townhall Data

Final Thoughts

Whether you’re an urban planner, public policy researcher, GIS analyst, or a civic tech innovator, having access to structured, multi-format administrative location data is vital. Thanks to GIS Data by MAPOG, the process to download Townhall Data is both accessible and intuitive. Its smart search tools, data filters, and visualization options make it a go-to resource for high-quality, location-based datasets.

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

Download Forest Boundary Data in Multiple GIS Formats with Ease

Looking to Download Forest Boundary Data in multiple GIS-compatible formats? GIS Data by MAPOG makes this process intuitive and efficient. Whether you’re working on ecological research, forest management, biodiversity planning, or land-use studies, MAPOG provides well-structured and detailed forest boundary datasets. The platform supports over 15+ GIS formats, including Shapefile, KML, GeoJSON, MID, and more—ensuring flexibility across different mapping software and analytical tools.

How to Download Forest Boundary Data

GIS Data by MAPOG simplifies your workflow by offering access to over 900+ data layers from across the globe. From small patches of forest to extensive woodland zones, the platform enables users to Download Forest Boundary Data accurately and efficiently.

Download Forest Boundary Data of any countries

Note

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

Step-by-Step Guide to Download Forest Boundary Data

Step 1: Search for Forest Boundary Data

Begin by going to process data and select GIS Data & selecting your area of interest in the MAPOG interface. Use the search bar or layer tool to look for “Forest Boundary Data” datasets. The metadata will help you verify if the data is in polygon format—ideal for forest mapping.

Download Forest Boundary Data
Step 2: Try the AI Search Tool

Leverage MAPOG’s “Try AI” feature for smart, faster search results. Just type in terms like “forest areas in any specific region” and the system will automatically suggest the most relevant datasets. This reduces manual effort and increases efficiency in data discovery.

Step 3: Filter by State or District

Use the “Filter Data” tool to narrow down your search to specific states or districts. This feature is especially useful for detailed, localized forest planning, letting you drill deeper into regional datasets and gain more accurate insights.

Step 4: Visualize with ‘Add on Map’

Click “Add on Map” to instantly view your selected forest boundary layer on MAPOG’s interactive map interface. This step helps in spatial analysis, making it easier to assess forest coverage, proximity to urban zones, or environmental impact areas.

Step 5: Download the Dataset

Once you’ve reviewed and selected your data, click “Download Data.” Choose between sample or full datasets. Select your desired format—Shapefile, KML, MID, or others—agree to the usage terms, and initiate the download.

Final Thoughts

The ability to Download Forest Boundary Data in a variety of GIS formats from MAPOG offers a streamlined experience for researchers, planners, and environmental experts alike. With its rich features like smart AI search, data filtering, and visualization tools, GIS Data by MAPOG turns a once-complex task into a straightforward, efficient process. Explore, analyze, and act confidently with accurate forest boundary data at your fingertips.

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

How to Convert SQLite to GPX Online – Step-by-Step Guide

This guide will walk you through the process of how to convert SQLITE to GPX format using the Converter Tool in MAPOG. Whether you’re new to MAPOG or, alternatively, a seasoned user, this step-by-step tutorial will clearly and confidently simplify the conversion process for you, ensuring that you can easily convert SQLITE to GPX with confidence.

Key Concept to Converting Files:

Moreover, the Converter Tool in MAPOG acts as a bridge for transforming data from one format to another. In other words, think of it as a seamless process where you input data in one format, and it subsequently converts it into another format that better fits your analytical needs. Additionally, GIS Data can be exported in different formats, therefore making it versatile and useful for a variety of applications.

Online GIS Data Conversion

Step 1: Upload the Data:

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

2. Upload your SQLITE file. This is the starting point where you provide the data that needs to be converted.

SQLITE to GPX

Step 2: Select the Format for Conversion:

  1. Choose GPX as the output format if your goal is to export just the data. While the tool offers various options to achieve the result, this guide focuses on converting the file to GPX.
SQLITE to GPX

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

SQLITE to GPX

Step 3: Run the Conversion:

Navigate to ‘Convert Files’ and let the tool do its job. By using the Converter Tool, you simply provide your data, and it handles the conversion from SQLITE to GPX format.

SQLITE to GPX

Step 4: Review and Download:

Take a moment to check your converted GPX data to ensure everything is accurate. Once you’re satisfied with the results, proceed to download the file. This step is crucial to verify that the conversion was successful and that all your data is correctly preserved.

SQLITE to GPX

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.

You might also find these blogs helpful:

Download Fire Station GIS Data in Shapefile, KML, GeoJSON, and Other Formats – Global Coverage

Fire stations play a crucial role in emergency response, ensuring public safety in urban and rural areas. To enhance fire risk assessment, infrastructure planning, and response strategies, GIS professionals rely on accurate fire station data. Download Fire Station Data in multiple GIS formats using GIS Data by MAPOG, a user-friendly platform offering seamless access to geographic datasets worldwide.

Simplified Fire Station Data Retrieval Process

GIS Data by MAPOG streamlines the fire station data download process, providing access to over 200 countries and 900+ layers in multiple formats, including Shapefile (SHP), KML, GeoJSON, and MID. This ensures GIS compatibility across different applications.

Download Fire Station 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 Fire Station Data

Step 1: Search for Fire Station Data

After logging into GIS Data by MAPOG, select the desired country. Use the search layer feature to find Fire Station Data. Users can explore point or polygon-based datasets with detailed attributes.

Download Fire Station Data
Download Fire Station Data
Step 2: Utilize the AI Feature Tool

Try the “AI Search” tool in the upper-left corner to simplify your search. Enter “Fire Station Data” along with the desired region, and the AI tool will display relevant datasets instantly.

Download Fire Station Data
Step 3: Filter Data for Specific Regions

Use the Filter Data option to refine results based on country, state, or district. This feature helps narrow down datasets, ensuring precise analysis for GIS mapping and urban planning projects.

Download Fire Station Data
Step 4: Add Data to the Map

With the “Add on Map” feature, users can overlay fire station locations onto an interactive map. This helps in spatial analysis, risk assessment, and planning for fire safety management.

Download Fire Station Data
Step 5: Download Fire Station Data

Click the “Download Data” button. Users can choose between sample data or full dataset. Select the required format—Shapefile, KML, GeoJSON, or any of the 15+ available formats. Accept the terms and conditions, then click Download to start the process.

Download Fire Station Data

Conclusion

GIS Data by MAPOG makes it easy to Download Fire Station Data in multiple GIS formats, supporting urban planning, emergency response, and infrastructure development. Whether you’re a GIS professional or a researcher, accessing accurate fire station data is now effortless with MAPOG.

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 Hiking Trails GIS Data in Shapefile, KML, and More

Exploring hiking trails has never been easier. With GIS Data by MAPOG, users can download hiking trails data in various formats like Shapefile, KML, and MID, among 15+ GIS-compatible formats. Whether you’re planning an outdoor adventure or conducting geographical analysis, this platform ensures seamless access to essential trail data.

Why Hiking Trails Data Matters?

Hiking trails data provides detailed geographical insights into walking paths, elevations, terrain types, and accessibility routes. This information is crucial for hikers, conservationists, urban planners, and outdoor enthusiasts, aiding in navigation, safety planning, and environmental studies.

Download Hiking Trails 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 Hiking Trails Data

Step 1: Locate Hiking Trails Data

After accessing GIS Data by MAPOG, select the preferred country. Use the search layer feature to find “Hiking Trails Data.” The system will display relevant datasets, including point or polygon formats. This feature makes it easy to retrieve trail networks in locations.

Download Hiking Trails Data
Download Hiking Trails Data
Step 2: Utilize the AI Search Tool

MAPOG’s “Try AI” tool simplifies searching. Simply enter your data requirements and preferred area, and the AI will provide optimized results, saving time and effort.

Download Hiking Trails Data
Step 3: Apply Filters for Precision

Use the filter feature to refine your results by state, region, or trail type. This ensures access to the most relevant datasets, allowing professionals to analyze specific trail characteristics like length, difficulty, and elevation gain.

Download Hiking Trails Data
Step 4: Visualize Data on the Map

The “Add on Map” feature lets users overlay the selected hiking trails data onto a map interface. This enables deeper insights into spatial relationships, topographical challenges, and connectivity between trails.

Download Hiking Trails Data
Step 5: Download in Your Preferred Format

Click on “Download Data” and select either a sample dataset or the full version. Choose from over 15 supported GIS formats, including Shapefile (SHP), KML, GeoJSON, MID, GPX, and DXF. Accept the terms and conditions, then finalize the download.

Download Hiking Trails Data

Conclusion

With GIS Data by MAPOG, downloading hiking trails data is effortless. This platform provides accurate, GIS-compatible datasets for planning hiking routes, environmental research, and urban development. Start exploring GIS-powered outdoor mapping today!

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:

Wind Farm Locations GIS Data: Free Download in Shapefile, KML & More

GIS Data by MAPOG is an intuitive platform that enables users to download Wind Farms Data in formats like Shapefile, KML, GeoJSON, and more. This versatile tool simplifies the process of accessing administrative and geographic datasets, supporting accurate mapping and analysis of wind energy locations worldwide.

Why Wind Farms Data Matters

Wind farms play a crucial role in renewable energy production. These data sets help map wind farm locations, analyze energy potential, and aid in planning sustainable projects. Accessing accurate GIS data makes wind energy development more efficient.

Download Wind Farms 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 Census Boundary Data

Step 1: Locate ‘Wind Farms Data’

Start by logging into MAPOG with a valid email. On the GIS Data interface, select a country or region of interest. Use the search layer option to find the “Wind Farms” data. Review its attributes, such as location type (point or polygon).

Download Wind Farms data
Step 2: Leverage the AI Tool

Try the “AI Tool” for an even simpler search process. Describe your needs—for instance, “Wind farms in coastal areas”—and the tool will locate the exact data for you.

Step 3: Filter for Specific Data

Refine your search using filters. Narrow down results by states or districts for localized datasets. This ensures you get only the most relevant information for your project.

Step 4: Overlay Data on Maps

Leverage the “Add on Map” feature to visualize the data. Overlay wind farm layers onto a map to analyze spatial patterns and relationships. Add the data to a new map or merge it with an existing one.

Step 5: Download Data in Preferred Format

Click on “Download Data.” Choose between downloading a sample or the full dataset. Select the required format, such as Shapefile, KML, or any of the 15+ supported options. Agree to the terms, confirm, and your Wind Farms Data will be ready to use.

Conclusion

With GIS Data by MAPOG, downloading Wind Farms Data is fast and efficient. This platform provides the accurate and detailed datasets needed for renewable energy planning, mapping, and analysis. Start exploring today to unlock valuable insights into global wind energy infrastructure!

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 Storage Tank Data in Shapefile, KML, MID +15 GIS Formats

GIS Data by MAPOG is a user-friendly platform that offers easy access to various GIS data formats, including Shapefile, KML, and GeoJSON. Users can efficiently download storage tank data for detailed mapping and spatial analysis. This platform provides administrative and geographic data sets, making it a valuable tool for professionals working in environmental management, urban planning, and industrial monitoring.

How to Access and Download Storage Tank Data

MAPOG simplifies the process of obtaining storage tank data by offering a step-by-step guide. Covering over 200 countries and 900+ layers, the platform supports multiple GIS formats, including Shapefile, KML, CSV, GeoJSON, and more.

Download Storage Tank 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 Storage Tank Data

Step 1: Search for Storage Tank Data

After logging into the GIS Data interface, select the country of interest. Use the search layer option to find storage tank data. The search results will display attributes like tank type, capacity, and location format (point or polygon).

Download Storage Tank Data
Download Storage Tank data
Step 2: Utilize the AI Search Tool

MAPOG’s “Try AI” tool, located in the upper left corner, helps refine searches. Simply input your data requirements and location details, and the AI tool will provide relevant datasets quickly.

Download Storage Tank Data
Step 3: Apply Filters for Specific Results

Users can refine their searches using the filter option. This feature allows narrowing down datasets based on state, district, or specific criteria like tank usage type, capacity, or industry. Filtering enhances accuracy and ensures relevant data extraction.

Download Storage Tank Data
Step 4: Visualize Data on the Map

By selecting “Add on Map,” users can overlay storage tank data onto a map interface for deeper spatial analysis. This helps in identifying patterns, planning infrastructure, and assessing environmental impacts.

Download Storage Tank Data
Step 5: Download Data in Desired Format

Click on the “Download Data” button. Choose between a sample dataset or the full dataset. Then, select the preferred format—Shapefile, KML, GeoJSON, or any of the 15+ supported formats. Accept the terms and conditions and finalize the download.

Download Storage Tank Data

Conclusion

GIS Data by MAPOG makes it easy to download storage tank data in multiple GIS formats, supporting professionals in planning, monitoring, and compliance. With its user-friendly interface and diverse data options, MAPOG remains a valuable resource for GIS analysts and decision-makers.

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

GIS Data by MAPOG is a user-friendly platform designed to help users download restaurant data in various GIS formats like Shapefile, KML, and GeoJSON. It enables users to access administrative and geographic datasets efficiently. Whether planning, analysis, or mapping is required, this platform simplifies the process with a step-by-step guide.

Why Restaurant Data?

Restaurant data is valuable for understanding dining trends, mapping food business locations, and supporting urban planning. Users can access detailed geographic information such as restaurant types, locations, and capacities to aid decision-making in diverse projects. With over 200 countries and 900+ layers, MAPOG provides detailed datasets compatible with various GIS tools.

Download 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 Process to Download Restaurant Data

Step 1: Search for Restaurant Data

Open the GIS Data interface on MAPOG and select the desired country. Use the search option to locate restaurant-related layers. Check data attributes to see if they are formatted as points or polygons.

Download Restaurant Data
Download Restaurant data
Step 2: Use the AI Search Tool

The “Try AI” tool, available in the top left corner, can make your search faster. Input your specific requirements, like “restaurants in downtown areas,” and the AI will fetch the data you need.

Download Restaurant Data

Utilize the filter option to narrow down data by states or districts. This feature helps pinpoint the exact areas you need for more detailed analysis or mapping.

Download Restaurant Data
Step 4: Visualize Data on a Map

Use the “Add on Map” feature to overlay restaurant data onto a map. This enables users to analyze patterns and relationships between restaurant locations and other geographic features. You can add the layer to an existing one for a comprehensive view.

Download Restaurant Data
Step 5: Download the Data

Click on “Download Data.” Choose between sample data or the full dataset. Select your preferred format—Shapefile, KML, GeoJSON, or one of the other 15+ formats. Agree to the terms and conditions and start the download process.

Download Restaurant Data

Conclusion

With GIS Data by MAPOG, downloading restaurant data becomes an easy and efficient process. From detailed geographic information to multiple GIS formats, this platform supports planning, business analysis, and mapping projects. GIS Data by MAPOG is the go-to tool for GIS professionals and enthusiasts seeking restaurant-related insights.

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 SQLITE to ESRI Shapefile : Online GIS Data Converter

This guide will walk you through the straightforward process of convert SQLITE to ESRI Shapefile format using the Converter Tool in MAPOG. Whether you’re a first-time user or someone familiar with the tool, you’ll find that convert SQLITE to ESRI Shapefile with MAPOG is quick and easy. We’ll break down each step to ensure the entire process is clear and simple for you.

Key Concept of File Conversion:

The Converter Tool in MAPOG serves to change data from one format to another, almost like a seamless transformation. You start by inputting data in one format, and the tool delivers it in a different format that suits your analysis needs. Plus, GIS Data can be downloaded in various formats, offering flexibility for a range of applications.

Online GIS Data Conversion

Step 1: Upload the Data:

Navigate to Process Data and select the Converter Tool option.

SQLITE to ESRI Shapefile

Upload your SQLITE file. This is where you input the data that you want to convert.

SQLITE to ESRI Shapefile

Step 2: Choose the Conversion Format:

Select ESRI Shapefile as the output format if you need to export just the data. The tool offers multiple options for conversion, but in this guide, we’ll focus on converting the file to ESRI Shapefile.

SQLITE to ESRI Shapefile

Additionally, you can set the Output CRS according to your requirements.

SQLITE to ESRI Shapefile

Step 3: Execute the Conversion: 

Hit  to Convert Files and let the tool do its job. After you’ve input your data, the Converter Tool will transform it from SQLITE format to ESRI Shapefile format.

SQLITE to ESRI Shapefile

Step 4: Review and Download: 

Take a moment to check your converted ESRI Shapefile data to ensure everything is accurate. Once you’re satisfied, proceed to download the file. This step is crucial to confirm that the conversion was successful and that all your data is intact.

SQLITE to ESRI Shapefile

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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