Tag: Racetrack

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
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.

Download Racetrack Data
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.

Download Racetrack Data
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.

Download Racetrack Data
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.

Download Racetrack Data

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.

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