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

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

How to Download Historical Monuments Data

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

Download Historical Monuments Data of any countries

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

Step-by-Step Guide to Download Historical Monuments Data

Step 1: Search for Historical Monuments Data

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

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

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

Download Historical Monuments Data
Step 3: Apply Data Filters

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

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

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

Download Historical Monuments Data
Step 5: Download Historical Monuments Data

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

Download Historical Monuments Data

Final Thoughts

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

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

Download Music Festivals Data in Shapefile, KML, MID +15 GIS Formats

Searching for vibrant cultural event data? Now you can easily Download Music Festivals Data using GIS Data by MAPOG. This intuitive platform offers a wide range of GIS formats—including Shapefile, KML, GeoJSON, MID, and many others—making it simple to integrate with various GIS tools. Whether for tourism planning, event management, cultural studies, or mapping global entertainment hubs, MAPOG provides structured, regularly updated music festival datasets, perfect for seamless analysis and mapping.

How to Download Music Festivals Data

GIS Data by MAPOG streamlines the entire process, offering quick access to music festivals data across thousands of locations and hundreds of curated layers. Supporting formats like KML, SHP, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX, it’s an excellent choice for planners, researchers, and GIS enthusiasts alike.

Download Music Festivals 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 Music Festivals Data

Step 1: Search for Music Festivals Data

Begin by navigating the GIS Data by MAPOG interface. Use the search layer option and type in “Music Festivals Data.” Check the dataset attributes to understand if the data is available in point, line, or polygon formats.

Download Music Festivals Data
Step 2: Utilize the AI Search Tool

Leverage the smart “Try AI” feature to make your search faster and more accurate. Simply type a keyword like “Music festivals nearby,” and the AI engine will fetch the most relevant data layers within seconds, eliminating the need for manual browsing.

Step 3: Apply Data Filters

Refine your search effortlessly with the Filter Data option. Drill down into the data by selecting specific states and districts, allowing you to access highly targeted and location-specific music festival information for deeper insights.

Step 4: Visualize with “Add on Map”

Click on the “Add on Map” feature to overlay your selected music festival data onto the interactive map interface. This visualization allows for better analysis of event distributions, accessibility patterns, and regional clustering—all crucial for informed planning and strategic mapping.

Step 5: Download Music Festivals Data

Finally, after confirming the dataset fits your needs, hit the “Download Data” button. You can choose between downloading a sample or the complete dataset. Select your desired format—whether it’s Shapefile, KML, GeoJSON, MID, or any other supported format—accept the terms, and proceed to download.

Final Thoughts

With GIS Data by MAPOG, the ability to download Music Festivals Data across diverse formats has never been simpler or more accessible. The platform ensures flexibility and depth for any GIS project, whether it’s for cultural research, travel planning, or event mapping. Tap into a world of music festivals and let your GIS analysis sing with rich, dynamic data!

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

Download Bus Station Data in Shapefile, KML, MID +15 GIS Formats

Searching for well-structured and reliable Bus Station data? Now, you can download Bus Station Data easily using the intuitive and powerful GIS Data by MAPOG platform. Designed for planners, researchers, and GIS professionals, this platform offers a wide range of GIS formats—including Shapefile, KML, GeoJSON, MID, and more—ensuring seamless integration with various GIS tools. Whether you’re working on transport planning, urban infrastructure development, or location-based services, MAPOG delivers curated and up-to-date Bus Station datasets ready for visualization and analysis.

Why Bus Station Data Matters

Bus Station data provides essential insights into public transportation networks, accessibility, and urban mobility patterns. With detailed attributes like station names, capacity, types, and operational status, this data becomes crucial for traffic flow optimization, infrastructure upgrades, and strategic planning in both urban and rural contexts.

Download Bus 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 Bus Station Data

Step 1: Search for Bus Station Data

Begin by navigating to the MAPOG interface and entering “Bus Station Data” in the search layer field. Verify whether the dataset is available as points or polygons, depending on your mapping needs.

Download Bus Station Data
Download Bus Station Data
Step 2: Use the AI Search Tool

Speed up your search using MAPOG’s “Try AI” tool. Just type a query like “Bus Stations in region,” and the AI will instantly pull relevant datasets, making data discovery more efficient and less time-consuming.

Download Bus Station Data
Step 3: Apply Data Filters

Use the “Filter Data” option to refine results by state or district. This is particularly useful when drilling down into specific regions, ensuring you get hyper-local and relevant Bus Station information for targeted analysis.

Download Bus Station Data
Step 4: Visualize with “Add on Map”

The “Add on Map” feature allows you to overlay the dataset onto the GIS map viewer instantly. This helps you analyze distribution patterns, station density, and proximity to urban areas, supporting smarter decision-making.

Download Bus Station Data
Step 5: Download the Dataset

Once you’ve previewed and finalized your selection, hit “Download Data.” Choose between downloading a sample or full dataset. Select your required format—be it Shapefile, KML, MID, or any of the 15+ supported GIS types—agree to the terms, and your data will be ready in moments.

Download Bus Station Data

Final Thoughts

With GIS Data by MAPOG, the ability to download Bus Station data is now faster, smarter, and more accessible than ever before. The platform empowers users to explore, filter, visualize, and export transport datasets across a variety of formats—all in just a few clicks. Whether you’re enhancing urban mobility strategies, conducting accessibility studies, or mapping transit systems, this tool ensures that your Download Bus Station Data journey is seamless and insightful.

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

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

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

How to Download Fast Food Restaurant Data

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

Download Fast Food Restaurant Data of any countries

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

Step-by-Step Guide to Download Fast Food Restaurant Data

Step 1: Search for Fast Food Restaurant Data

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

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

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

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

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

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

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

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

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

Download Fast Food Restaurant Data

Final Thoughts

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

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

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

Download Shapefile for the following:

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

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

Here are some blogs you might be interested in:

Convert GeoJSON to GPKG | Online GIS data Conversion

This tutorial will walk you through the process of using MAPOG‘s Converter Tool to rapidly and simply convert GeoJSON files to GPKG format. Therefore, the complete procedure of Converting GeoJSON to GPKG with MAPOG will be presented to you in easy steps, regardless of whether you are a first-time user or not.

Key Concept to Converting files

One tool in the MAPOG is the Converter Tool, which is used to change the type of information you have. It resembles magic! It accepts data supplied in one format and outputs it in another that you can use for analysis. Additionally, GIS data may be downloaded in any format, meaning it can be used for a variety of purposes.

Online GeoJSON to GPKG GIS Converter

Step 1: Upload the Data

Select the data through the “Process Data” and go to the “Converter Tool”.

GeoJSON to GPKG

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

GeoJSON to GPKG
Step 2: Select the Format for Conversion

If you wish to export just the data, choose GPKG or Geopackage as the output format. Although the tool offers other ways to get the desired outcome, we are selecting the option to convert the file to GPKG for the purposes of this guide.

GeoJSON to GPKG

You can also set the Output CRS at this stage.

GeoJSON to GPKG
Step 3: Run the Conversion

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

GeoJSON to GPKG
Step 4: Review and Download

Check that everything seems correct by taking a moment to go over your converted GPKG data. You can download the file now that you’re satisfied. To make sure the conversion went well and that all of your data is intact, this step is crucial.

GeoJSON to GPKG
Step 5: Add Bubble Style

We can add the style on this map using the Bubble style feature in the map analysis interface. First, We need to go to the action button of the newly converted layer. Then select the bubble style from style editor option. From the panel in left side of the screen provide layer and desired attribute. Here you can change the parts, bubble color, size etc. When satisfied, click on save style to save the style.

GeoJSON to GPKG

And that’s it! You now know how to convert your GeoJSON data into GPKGs using the Converter Tool in MAPOG. 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.

MAPOG has a lot of feature tool. These feature tools allow us to perform a variety of tasks. For example, you can clip or crop your data with the clip tool, style your numeric data with the quantity style tool, create grid on your map with the create grid tool, and more.

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Download Public Lecture Halls Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data

Need access to reliable and structured data on educational infrastructure? Download Public Lecture Halls Data effortlessly using GIS Data by MAPOG. This intuitive platform supports over 15 GIS-compatible formats—including Shapefile, KML, MID, and GeoJSON—making it an ideal choice for professionals, researchers, and planners. Whether you’re working on academic infrastructure mapping, urban planning, or accessibility analysis, MAPOG empowers you with updated and spatially accurate datasets. With just a few clicks, users can Download Public Lecture Halls Data and begin their GIS-based projects seamlessly.

How to Download Public Lecture Halls Data

GIS Data by MAPOG simplifies the process of accessing this valuable data layer. With a database spanning thousands of layers and formats, users can easily find and download what they need. From standard SHP and KML files to advanced formats like MID, CSV, SQL, MIF, TOPOJSON, and GPX—the options are extensive and flexible.

Download Public Lecture Halls 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 Lecture Halls Data

Step 1: Search for Public Lecture Halls Data

Start by navigating to the MAPOG GIS Data interface. Use the search bar to look up “Public Lecture Halls Data.” Review the dataset’s attributes to verify if it’s in point or polygon form, depending on your use case.

Download Public Lecture Halls Data
Download Public Lecture Halls Data
Step 2: Try the AI Search Tool

Utilize the “Try AI” feature for faster, smarter results. Simply type in terms like “public lecture halls near city center” or “lecture spaces in universities,” and the AI tool will surface the most relevant datasets.

Download Public Lecture Halls Data
Step 3: Apply State and District Filters

Refining your search is easy with the Filter Data option. Select specific states or districts to narrow down your results. This feature is particularly useful when analyzing data at a local or institutional level, enabling more focused GIS work.

Download Public Lecture Halls Data
Step 4: Use the “Add on Map” Feature

Want to visualize before downloading? The Add on Map option allows users to overlay the selected data onto MAPOG’s interactive map interface. This step supports spatial analysis and helps identify patterns or infrastructure gaps visually.

Download Public Lecture Halls Data
Step 5: Download the Data

After reviewing and confirming the dataset, click on the “Download Data” button. Choose between a sample file or the full dataset, then select the desired format—whether it’s Shapefile, KML, MID, or another supported format. Agree to the terms and proceed to download.

Download Public Lecture Halls Data

Final Thoughts

To support academic infrastructure planning or educational accessibility studies, it’s essential to work with reliable spatial data. Thanks to MAPOG, users can now download Public Lecture Halls Data in multiple GIS formats with ease and confidence. Whether for educational research, policy development, or spatial visualization, MAPOG offers a robust solution for accessing public lecture hall information tailored to your GIS needs.

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

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

Download Shapefile for the following:

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

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

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Convert Online GPS to GPX and in other formats

This guide will walk you through the simple process of converting GPS files to the GPX format using the Converter Tool within MAPOG. Whether you’re a first-time user or a seasoned expert, you’ll find that converting GPS to GPX is straightforward when broken down into clear, manageable steps.

Key Concepts in File Conversion

The Converter Tool in MAPOG Map Analysis is a powerful feature designed to transform your data from one format to another seamlessly. Think of it as a magic tool that takes your data in one form and outputs it in another, perfectly tailored for your needs. With GIS data, you have the flexibility to download in any format, making it adaptable for various uses.

Online GPS to GPX GIS Conversion

Step 1: Upload Your Data

To begin, select your data by going to the “Process Data” section and then navigate to the “Converter Tool.”

GPS to GPX

Upload your GPS file, which serves as the starting point for the conversion process.

GPS to GPX

Step 2: Choose the Output Format

Next, select GPX as the output format. Although the tool offers multiple options for conversion, this guide focuses on converting your GPS file to GPX, ensuring the process is as straightforward as possible.

GPS to GPX

you can also set the CRS to make sure your data aligns perfectly with the needs of your spatial analysis.

GPS to GPX

Step 3: Execute the Conversion

After selecting your format, proceed to the ‘Convert Files’ option. The Converter Tool will then work its magic, transforming your GPS data into the GPX format.

GPS to GPX

Step 4: Review and Download

Once the conversion is complete, take a moment to review your GPX file. This step is crucial to confirm that everything has converted correctly. If all looks good, you can download the GPX file, confident that the conversion was successful and your data remains intact.

GPS to GPX

Step 5: Create Isochrones

To create isochrones, click the Process data option, select the Isochrone Option, enter the converted file in the select layer option, then provide a layer name and select the mode, provide duration and click on submit. By doing that isochrones will be created around the Museum points.

GPS to GPX

And there you have it! You’ve successfully converted your GPS files to GPX using the MAPOG Converter Tool. This feature simplifies the task of managing various data formats, making your workflow smoother and more efficient. Now, you’re all set to use your converted data for any analysis you require.

MAPOG has a lot of feature tool. These feature tools allow us to perform a variety of tasks. For example, you can clip or crop your data with the clip tool, style your numeric data with the quantity style tool, create grid on your map with the create grid tool, and more.

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Download Areas Under Construction Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly platform offering access to GIS data formats like Shapefile, KML, and GeoJSON. It provides tools to download areas under construction data effortlessly, enabling users to analyze and map construction zones for planning, monitoring, or development purposes. With over 200 countries and 900+ layers, it simplifies the process of accessing high-quality data.

Easy Access to Data

GIS Data by MAPOG supports various formats, including KML, SHP, GeoJSON, MID, and more. These options ensure compatibility with most GIS applications.

Download Areas Under Construction 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 Areas Under Construction Data

Step 1: Locate Data

Log in to MAPOG and navigate to the GIS Data interface. Use the search layer option to find “Areas Under Construction” data. Review attributes such as data type (point or polygon) and layer details.

Download Areas Under Construction Data
Download Areas Under Construction data
Step 2: Leverage the AI Tool

Simplify your search with the “Try AI” tool. Enter the type of data you need and the location. The AI will provide precise results, saving time and effort.

Download Areas Under Construction Data
Step 3: Refine Data Using Filters

Refine your search by applying state or district filters. This ensures the data is specific and relevant to your project. Filtering helps focus on smaller geographic areas for more accurate results.

Download Areas Under Construction Data
Step 4: Add Data to Map

Use the “Add on Map” feature to integrate selected layers into a new or existing map. This step enables deeper spatial analysis, helping you visualize relationships and patterns in construction data.

Download Areas Under Construction Data
Step 5: Download Data

Click “Download Data” and choose between sample or full datasets. Select the preferred format, such as Shapefile or KML, agree to the terms, and complete the download. The platform supports over 15 GIS formats, offering flexibility for diverse projects.

Download Areas Under Construction Data

Conclusion

MAPOG’s GIS Data simplifies downloading areas under construction data for mapping, planning, and analysis. Its multiple format options, intuitive interface, and advanced tools make it indispensable for professionals and enthusiasts in the field of GIS.

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 Retail Businesses Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly platform designed to help users download retail businesses data in multiple GIS formats, including Shapefile, KML, GeoJSON, and more. It offers a seamless way to access administrative and geographic data sets, making detailed mapping and business analysis easier than ever. Whether you need retail business locations, store distribution, or market insights, this tool provides accurate and up-to-date data across the globe.

How to Download Retail Businesses Data?

MAPOG makes the process effortless with an easy-to-follow guide. With over 900+ layers available, users can choose from an extensive array of formats, including Shapefile, KML, and GeoJSON, ensuring compatibility with various GIS applications.

Download Retail Businesses 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 Retail Businesses Data

Step 1: Search for Retail Businesses Data

Log in to the GIS Data platform and select the desired country. Use the search bar to find “Retail Businesses data.” You can explore datasets for shopping centers, supermarkets, malls, and other retail establishments. The platform also provides attribute details, such as business names, types, and locations.

Download Retail Businesses Data
Download Retail Businesses data
Step 2: Use the AI Search Tool

Leverage the “Try AI” feature in the upper left corner. This intelligent tool helps refine your search by suggesting relevant datasets based on your query. Just enter what you need (e.g., supermarkets in the USA), and the AI tool will find the most suitable data.

Download Retail Businesses Data
Step 3: Apply Data Filters

To get the most relevant information, use filters to narrow down the search. Users can filter data by state, city, or district, making it easier to extract targeted retail business insights. This feature is highly beneficial for local market analysis and competition tracking.

Download Retail Businesses Data
Step 4: Add Data to the Map

With the “Add on Map” feature, users can visualize retail business locations directly on a map. This functionality supports in-depth spatial analysis, helping businesses and analysts identify trends, gaps, and opportunities in various markets.

Download Retail Businesses Data
Step 5: Download Data in Desired Format

Click on “Download Data” to get your dataset. Choose between a sample or the full dataset. Select your preferred format, such as Shapefile, KML, MID, GeoJSON, CSV, or any of the 15+ supported formats. Accept the terms and conditions, then proceed with the download.

Download Retail Businesses Data

Conclusion

Downloading retail businesses data from GIS Data by MAPOG is quick and efficient. With comprehensive datasets available in multiple GIS formats, users can analyze business locations, plan expansions, and conduct market research with ease. This powerful tool is essential for professionals in retail analysis, urban planning, and location intelligence. Start exploring and download retail businesses data 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.

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Download Windmills Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly platform designed for seamless access to GIS data in multiple formats, including Shapefile, KML, and GeoJSON. If you need to download Windmills data, this platform makes it effortless. Windmills play a crucial role in renewable energy production, helping to harness wind power efficiently. Whether for environmental studies, energy mapping, or policy planning, having accurate windmill data is essential. MAPOG provides structured datasets for windmills across different countries, enabling detailed analysis and mapping.

Why Download Windmills Data?

Wind energy is a significant contributor to sustainable power. Understanding windmill locations, their capacity, and distribution helps in better energy planning. GIS Data by MAPOG offers over 900+ data layers across 200+ countries, ensuring reliable windmill data for various applications.

Download Windmills 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 Windmills Data

Step 1: Search for Windmills Data

After logging into GIS Data by MAPOG, navigate to the search interface. Choose your country of interest and type Windmills data in the search bar. The results will display available windmill datasets, showing attributes like point or polygon formats.

Download Windmills Data
Download Windmills data
Step 2: Use the AI Search Feature

To speed up your search, try the “Try AI” tool. Located in the upper left corner, this feature allows users to type queries in natural language, making it easier to find relevant Windmills Data across different regions.

Download Windmills Data
Step 3: Apply Data Filters

Refine your dataset using the Filter Data option. You can narrow down results by state, district, or specific windmill projects. Filtering ensures precise data extraction, which is useful for wind energy research, urban planning, and environmental impact assessments.

Download Windmills Data
Step 4: Visualize Data on the Map

With the Add on Map feature, users can overlay windmill data onto a GIS map. This enhances spatial analysis, allowing better visualization of wind farm distribution, capacity, and geographic patterns.

Download Windmills Data
Step 5: Download Windmills Data

Click on the Download Data button to access your dataset. Choose between sample data or the full dataset. Select the required format (Shapefile, KML, MID, or any other supported format), agree to the terms, and click Download to start the process.

Download Windmills Data

Conclusion

GIS Data by MAPOG makes it easy to download Windmills Data in multiple formats, supporting research, urban planning, and energy policy development. With its intuitive interface, powerful AI search tool, and extensive dataset coverage, MAPOG is a valuable resource for GIS professionals and renewable energy enthusiasts. Start mapping windmills 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.

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