Tag: Wind Farms

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

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

Why Wind Farms Data Matters

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

Download Wind Farms data of any countries

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

Step-by-Step Guide to Download Census Boundary Data

Step 1: Locate ‘Wind Farms Data’

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

Download Wind Farms data
Step 2: Leverage the AI Tool

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

Step 3: Filter for Specific Data

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

Step 4: Overlay Data on Maps

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

Step 5: Download Data in Preferred Format

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

Conclusion

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

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

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

Download Shapefile for the following:

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

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

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