Converting GPS to KML online using GIS data converter

This tutorial will walk you through the process of using MAPOG‘s Converter Tool to rapidly and simply convert GPS files to KML format. Thus, the entire process of Converting GPS to KML with MAPOG will be broken down into easy steps for you, regardless of whether you are a first-time user or not.

Key Concept to Converting files

Converter Tool is a tool in the MAPOG used for the purpose of converting the information you have from one type to another. It’s like magic! You input data into it in one form, and you get it output in another form that you could use in your analysis. Moreover, GIS Data has a download in any format that means it is shift able in any kind of uses.

Online Conversion from GPS to KML

Step 1: Upload the Data

1. Choose the data by using the “Process Data” option, then select the “Converter Tool.”

GPS to KML

2. Upload your GPS file. This is the entry point where you enter the data to be converted.

Step 2: Decide on the Conversion Format

If you wish to export just the data, choose KML or Keyhole Markup Language as the output format. The application offers other ways to get the desired outcome, but in this tutorial, we’ll be using the option to convert the file to KML.

Additionally, this is a good time to set the CRS (Coordinate Reference System) to ensure your data aligns correctly with your spatial analysis requirements.

Step 3: Execute the Conversion

Navigate to “Convert Files” to observe the tool in action. When you use the Converter Tool, you enter your data and it transforms it from GPS to KML format.

Step 4: Review and Download

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

Step 5: Add Label Feature

To add a Lebel to a map, click the layer’s action button, select the Label Feature, enter the converted file, and adjust color and font size. Save the data, and the newly converted data with all museums names will be displayed.

And that’s it! You now know how to use MAPOG Converter Tool to convert GPS files to KMLs. It’s now simpler than ever to modify your data and get it ready for whatever analysis you require. This useful tool makes handling different data types easier, which improves the efficiency and productivity of your work.

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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How to Download Barn Data for Any Country in GIS Format – Shapefile, KML etc.

GIS Data by MAPOG is a user-friendly platform offering access to various GIS data formats, including Shapefile, KML, and GeoJSON. With this platform, users can easily download barn data in multiple formats, enabling detailed mapping and analysis for agricultural planning, land management, or spatial studies. The availability of 15+ formats ensures compatibility with a wide range of GIS tools.

Why Barn Data Matters?

Barn data is crucial for understanding agricultural landscapes and infrastructure. It aids in farm planning, resource management, and even policy development for rural areas. Accurate data in GIS formats enables better decision-making.

Download Barn 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 Barn Data Data

Step 1: Locate Barn Data

Start by logging into GIS Data by MAPOG. Access the GIS data interface and select a specific country. Use the search option to find the barn data layer. Check attributes like points or polygons and review data details.

Download Barn data
Step 2: Leverage the AI Tool

The “Try AI” tool simplifies your search. Just type the type of data and region you need, and it will instantly fetch the relevant layer. This feature is highly efficient for specific or complex searches.

Step 3: Apply Filters

Use the filter option to narrow down your search. You can refine the data by selecting specific states, districts, or regions. This ensures accurate results for targeted analysis.

Step 4: Visualize with ‘Add on Map’

MAPOG’s “Add on Map” feature lets you visualize barn data on a map. Overlay the dataset on an existing map for deeper analysis. This helps in understanding spatial relationships and patterns.

Step 5: Download Data in Preferred Format

Click “Download Data.” Choose between sample or full data. Then select your preferred format—Shapefile, KML, GeoJSON, or any of the 15+ supported options. Accept the terms and conditions, and your data is ready to download.

Conclusion

GIS Data by MAPOG simplifies the process of downloading barn data in multiple formats. With its user-friendly interface, AI-driven search, and extensive data options, users can access accurate and detailed information for various applications. Whether you’re a GIS professional or an enthusiast, this platform is an invaluable tool.

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 Truck Stops Data in Shapefile, KML, MID +15 GIS Formats

Looking to Download Truck Stops Data for logistics planning, infrastructure development, or transportation analysis? GIS Data by MAPOG offers a seamless way to access truck stop locations in over 15+ widely used GIS formats, including Shapefile, KML, GeoJSON, and MID. Truck stops serve as vital rest, refuel, and maintenance points for long-haul drivers—making their data essential for route optimization, safety planning, and supply chain mapping. With MAPOG’s intuitive platform, users can obtain structured, up-to-date datasets for easy integration into their GIS workflows.

How MAPOG Simplifies the Download Process

Whether you’re analyzing transport corridors or enhancing commercial route planning, MAPOG makes it simple. The platform supports formats such as SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—ensuring compatibility with most GIS software. Designed for professionals, researchers, and decision-makers, it lets users Download Truck Stops Data across multiple administrative levels with just a few clicks.

Download Truck Stops 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 Truck Stops Data

Step 1: Search for Truck Stops Data

Begin by opening GIS Data by MAPOG and entering the search term “Truck Stops Data.” The dataset usually appears in point format with attributes such as facility type, capacity, and service availability.

Download Truck Stops Data
Step 2: Try the AI Search Tool

Speed up your search using the “Try AI” feature. Just type in phrases like “truck rest points” or “highway truck facilities,” and the AI will instantly fetch relevant data layers. This smart tool minimizes manual filtering and boosts accuracy.

Step 3: Filter the Data for Precision

Narrow your search using the Filter Data feature. You can drill down by state and district to focus on specific geographic areas. Especially when working with large-scale datasets, this function enhances relevance and efficiency.

Step 4: Use “Add on Map” for Visual Analysis

Click “Add on Map” to overlay your selected data on the live analysis map. This allows you to visualize truck stop density, proximity to highways, and spatial patterns—helpful in logistics planning and field research.

Step 5: Download Truck Stops Data

Once you’re satisfied with the layer, proceed to download it. Choose between a sample or the full dataset, pick your preferred format (SHP, KML, MID, etc.), agree to the terms, and start the download. It’s that straightforward.

Final Thoughts

With GIS Data by MAPOG, the ability to download Truck Stops Data in multiple GIS formats becomes fast, efficient, and adaptable to any project need. Whether you’re mapping regional logistics hubs or analyzing highway infrastructure, MAPOG’s tools give you the depth, accuracy, and flexibility to make informed decisions. From planners to GIS enthusiasts, anyone can benefit from this rich and accessible data source.

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 Rental Car Services Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

Need accurate and ready-to-use rental car services data? Download Rental Car Services Data effortlessly with GIS Data by MAPOG—a powerful and intuitive platform that supports more than 15 GIS formats including Shapefile, KML, GeoJSON, and MID. Whether you’re working on transportation planning, urban mobility studies, or commercial mapping projects, this platform gives you access to structured, updated geographic datasets for seamless integration and analysis.

How to Download Rental Car Services Data

GIS Data by MAPOG simplifies the entire process, offering easy access to rental car service layers across thousands of locations. Supporting a wide range of export formats—such as SHP, KML, CSV, MID, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—the platform ensures compatibility across all major GIS tools, whether desktop or web-based.

Download Rental Car Services 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 Rental Car Services Data

Step 1: Search for Rental Car Services Data

Start by selecting your area of interest within the MAPOG platform. Use the search tool and type “Rental Car Services Data” to view relevant datasets. Check the attributes to confirm whether the layer consists of points or polygons, depending on how the data is mapped.

Download Rental Car Services Data

Leverage the “Try AI” option to make your search smarter and faster. Simply enter keywords like “rental car pickup points” or “car hire zones,” and MAPOG’s AI engine fetches datasets that match your needs instantly.

Step 3: Apply State and District Filters

The Filter Data option allows you to narrow down data results based on specific states and districts. If your dataset spans a large region, this tool becomes crucial in zooming into local-level insights, making your maps more actionable and detailed.

Step 4: Visualize with ‘Add on Map’

By clicking “Add on Map,” users can overlay selected rental car service data onto the analysis interface. This interactive feature enables users to inspect spatial distribution, analyze service density, and explore urban mobility flows in real time.

Step 5: Download the Data in Your Preferred Format

Once satisfied, click “Download Data.” You can choose a sample or complete dataset. Select the desired format—whether it’s Shapefile, KML, MID, or any other supported option—agree to the terms, and proceed to download.

Final Thoughts

Download Rental Car Services Data in a format that fits your workflow with just a few clicks. Thanks to MAPOG’s extensive format support and built-in analytical features, professionals and GIS enthusiasts can gain deep insights into car rental networks and urban mobility patterns. If your goal is to map, plan, or research ground transportation services, GIS Data by MAPOG is the gateway to smarter, data-driven outcomes.

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

Looking to Download Racetrack Data for mapping or analysis? GIS Data by MAPOG offers a smooth and structured way to access racetrack location datasets in over 15 GIS-compatible formats, including Shapefile, KML, GeoJSON, and MID. Whether you’re exploring racetrack infrastructure for sports planning, tourism, or transportation studies, this intuitive platform delivers well-organized, up-to-date spatial data tailored to your needs.

How to Download Racetrack Data

GIS Data by MAPOG simplifies complex GIS tasks by providing access to more than 900+ layers of data from across the globe. From racing circuits in metropolitan areas to more remote track locations, users can Download Racetrack Data in formats like SHP, KML, CSV, MID, DXF, SQL, TOPOJSON, and more. This wide variety ensures compatibility with all leading GIS software.

Download Racetrack Data of any countries

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

Step-by-Step Guide to Access and Download Racetrack Data

Step 1: Search for Racetrack Data

Begin by selecting the relevant area or country on the MAPOG interface. Then, search for “Racetrack Data” using the search layer tool. Check whether the layer is point-based (for individual tracks) or polygon-based (for track boundaries).

Download Racetrack Data
Step 2: Try the AI Search Tool

Use the built-in “Try AI” option for smarter and faster data lookup. Simply type keywords like “Racetracks nearby” or “Racing circuits,” and the tool will pull accurate layers for you—saving both time and effort.

Step 3: Refine with Data Filters

Looking for tracks in a specific region? The Filter Data option allows you to narrow down your search by state or district. This is especially helpful when your analysis focuses on specific administrative zones or local planning.

Step 4: Visualize Using ‘Add on Map’

Once you find a relevant dataset, click on “Add on Map” to load it onto MAPOG’s interactive GIS viewer. This visualization helps users analyze track distributions, urban proximity, and regional access patterns—all in one place.

Step 5: Download the Dataset

After reviewing the data visually, proceed to download. Choose from sample or full datasets. Then, select your preferred GIS format—whether Shapefile, MID, KML, or another supported type. Accept the terms and click the final download button.

Final Thoughts

With MAPOG’s powerful tools, the ability to Download Racetrack Data becomes both simple and efficient. This platform is designed to support a variety of GIS users—whether you’re a researcher, a sports analyst, or someone building a custom map for planning or tourism. With comprehensive coverage and multi-format support, MAPOG equips you with everything needed to work smarter with racetrack geography.

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

GIS Data by MAPOG is a user-friendly platform that simplifies GIS data accessibility. It provides access to a wide range of formats, including Shapefile, KML, and MID. Whether for analysis, planning, or mapping, users can download cinemas data effortlessly for detailed geographic insights.

About Cinemas Data

Cinemas data includes information about theaters and movie halls. It is useful for urban planning, market analysis, and location-based studies. By mapping cinema locations, you can analyze patterns, accessibility, and proximity to other facilities.

Download Cinemas 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 Cinemas Data

Step 1: Search for ‘Cinemas Data’

Select your country and use the search bar to find Cinemas data, check the layer’s attributes. Review if the data is point or polygon-based for better analysis.

Download Cinemas data
Step 2: Use the AI Tool

Try the “Try AI” tool for smarter searches. Type what you need, like “cinema locations in the city,” and let AI fetch the relevant layer.

Step 3: Apply Filters

Filter data by state or district to narrow down the results. This option ensures you focus on specific regions, making your analysis more targeted.

Step 4: Visualize Data on Map

The “Add on Map” feature allows you to overlay cinemas data on a map. This helps in visualizing spatial patterns and creating detailed analysis maps.

Step 5: Download Data

Click the “Download Data” button. Choose sample or full data as per your needs. Select your preferred format—Shapefile, KML, GeoJSON, or any of the 15+ supported options. Agree to terms, then download your data.

Conclusion

Downloading cinemas data from GIS Data by MAPOG is simple and efficient. The platform offers accurate and up-to-date geographic data, suitable for diverse applications like urban planning and market research. Enhance your GIS projects by accessing reliable data in just a few clicks!

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

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

Download Shapefile for the following:

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

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

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Download Research Institute Data in Shapefile, KML, MID +15 GIS Formats

GIS Data by MAPOG is a user-friendly platform designed to make accessing and downloading GIS data effortless. With this tool, users can download research institute data in various formats like Shapefile, KML, GeoJSON, and more. The platform simplifies the process of obtaining administrative and geographic datasets, making it ideal for mapping and analyzing research facilities worldwide.

Why Research Institute Data Matters

Research institute data includes geographic information about research facilities, centers, and institutes. These datasets are crucial for planning, analysis, and decision-making in sectors like education, innovation, and urban development.

Advantages of Using MAPOG
  • Access to 200+ countries and 900+ data layers.
  • Supports diverse formats, including MID, GPX, and TOPOJSON.

Download Research Institute 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 Research Institute Data

Step 1: Locate the Data

Log in to the GIS Data platform using a valid email address. Once logged in, access the GIS Data interface and search for “Research Institute data.” You can select a country and review the attributes of the dataset, such as point or polygon formats.

Download Research Institute data
Step 2: Utilize the AI Tool

Use the “Try AI” tool for a quicker search. Just type in the specific research institute data you need and the area you are interested in. The AI will locate the relevant dataset for you.

Narrow down the results by applying filters. Choose specific states or districts to pinpoint data at a granular level. This makes it easier to focus on particular areas or regions.

Step 4: Overlay Data on Maps

Add the selected data to your map for deeper analysis. Use the “Add on Map” feature to visualize relationships and patterns. You can overlay the research institute data on existing maps for enhanced insights.

Step 5: Download Research Institute Data

Click on “Download Data.” Choose between sample data or the complete dataset. Select your desired format, such as Shapefile, KML, or any of the 15+ supported GIS formats. After agreeing to the terms, download the data for further use.

Conclusion

Downloading research institute data using GIS Data by MAPOG is simple and efficient. The platform ensures users can access accurate, up-to-date geographic information tailored to their needs. Whether for planning, mapping, or analysis, MAPOG is a valuable tool for professionals and enthusiasts alike.

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 Medical Clinics Data in Shapefile, KML, MID +15 GIS Formats

Looking to download Medical Clinics Data in GIS-friendly formats? GIS Data by MAPOG simplifies the process by offering Shapefile (SHP), KML, MID, and 15+ other GIS formats. With an intuitive interface, it enables seamless access to geographic and administrative datasets, making medical facility mapping effortless.

Why Medical Clinics Data Matters?

Medical clinics data is vital for healthcare planning, emergency response, and urban development. It includes crucial details such as clinic locations, capacity, specialization, and accessibility. This information helps government agencies, researchers, and GIS professionals in decision-making and strategic planning.

Download Medical Clinics 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 Medical Clinics Data

Step 1: Search for ‘Medical Clinics Data’

Access the GIS Data by MAPOG interface and select your desired country. Use the search layer feature to locate Medical Clinics Data. Choose between point or polygon data to suit your needs.

Download Medical Clinics Data
Step 2: Use the AI Search Feature

Leverage the “Try AI” tool to refine searches effortlessly. Simply enter “Medical Clinics Data” along with your target location, and the AI will fetch relevant datasets instantly.

Step 3: Filter Data by Region

Use the Filter Data option to focus on specific states, districts, or localities. This enhances accuracy by ensuring you retrieve only the most relevant datasets for analysis.

Step 4: Visualize with ‘Add on Map’ Feature

Before downloading, overlay the dataset on the interactive GIS map. This allows users to analyze spatial patterns, accessibility, and healthcare coverage.

Step 5: Download Your Data

Click on the “Download Data” button. You can choose between sample data or the full dataset. Select your preferred format, agree to the terms, and initiate the download.

Conclusion

GIS Data by MAPOG makes it easy to download Medical Clinics Data in Shapefile, KML, MID, and 15+ GIS formats. Whether for healthcare mapping, policy-making, or emergency planning, this platform ensures accurate and updated geographic data. Explore, analyze, and download medical clinic datasets seamlessly 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:

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.

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