Thailand (THA) Administrative Boundary Common Operational Database (COD-AB): Level 0 (country), 1 (province), 2 (district), and 3 (sub-district, tambon) boundaries.

Download high-quality, up-to-date Thailand shapefile boundaries (SHP, projection system SRID 4326). Our Thailand Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

This dataset is the wildlife sanctuaries in Thailand

Spatial data underlying the figures in Balmford et al. "Getting road expansion on the right track: a framework for smart infrastructure planning in the Mekong", for use in a Geographic Information System All raster and shapefile data have been derived from other datasets, and show metrics of environmental cost and food production benefit in the Mekong Basin, as defined by the Asian Development Bank as Vietnam, Lao PDR, Cambodia, Thailand, Myanmar, and Yunnan Province in China. Full details are given in the figure captions and text of the associated paper.

This polygon shapefile contains the second-level administrative divisions of Thailand (adm2). Level 2 divisions include districts. This layer is part of the Global Administrative Areas 2015 (v2.8) dataset.

Thailand administrative level 0-2 2020 projected sex and age disaggregated population statistics

REFERENCE YEAR: 2020

These tables are suitable for database or GIS linkage to the administrative level 0 and 1 Thailand - Subnational Administrative Boundaries shapefiles and geodatabase features.

Hydro-basins provide hydrographic data layers that allow for the derivation of watershed boundaries for any given location based on the near-global, high-resolution SRTM digital elevation model. Watersheds were delineated in a consistent manner at different scales, and a hierarchical sub-basin breakdown was created following the topological concept of the Pfafstetter coding system (Verdin & Verdin 1999). The resulting polygon layers are termed HydroBASINS and represent a subset of the HydroSHEDS database. There are 12 levels. Level 6 represents major river systems from headwaters to coast. This version is sourced from FAO.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

This coverage includes arcs, polygons, and polygon labels that describe the generalized geologic age and type of surface outcrops of bedrock of Southeast Asia (Brunei, Indonesia, Cambodia, Laos, Malaysia, Papua New Guinea, Philippines, Singapore, Solomon Islands and Vietnam; and portions of Australia, China and Taiwan). It also includes shorelines and inland water bodies.

Land Use and Land Cover of Chiang Rai : FGDS (Fundamental Geographic Data Set) of Landuse and Land cover in Chiang Rai Province using Classification from Satellite data and Arial Photo.Transportation of Chiang Rai : FGDS (Fundamental Geographic Data Set) provides maps and Transportation information by Geo-Informatics & Space Technology Development Agency (Public Organization).River WaterBody of Chiang Rai : This dataset are produced by Royal Irrigation Department. The data using classification from satellite data and topographic map. The classified data as Stream, Mainriver and Waterbody.Digital Elevation Model (DEM 30 m) : FGDS (Fundamental Geographic Data Set) provides Digital Elevation Model 30m data by Geo-Informatics & Space Technology Development Agency (Public Organization).Waste Management Information System : The waste management data are compiled by the Department of Local Administration (DLA). All 7,777 local governments input data directly into the system using 2 forms. MorPhor 1 consists of basic data about the waste management system and MorPhor 2 reports monthly amounts of waste. The data quality varies across local governments. The data used for this project are cleaned using assumptions about waste generation rate and tourism activities.Spatial Location of Dumsite in Sub-district Level : This report is created by Pollution Control Department. The basic information of report contains the spatial location of dumsite in sub-district level.Function Area : This dataset are produced by Open Street Map. The data extracted the data in vector format (point feature).Flood Hazard Map : This dataset provides flood hazard map from 2007 to 2016 in Thailand by Geo-Informatic and Space Technology Development Agency (Public Organization). Data were provided to Thailand Flood Monitoring System in KML and Shapefile format.Census Data : This dataset provides the Census by Tambon (sub-district) level in Ubon Rachathani, as provided by Thailand the Bureau of Registration Administration 2014 and 2017 (Ministry of Interior, Department Of Provincial Administration). Entity : Geo-Informatics & Space Technology Development Agency (Public Organization)Pollution Control Department, Ministry of Natural Resources and EnvironmentOpenStreetMap (OSM)Royal Irrigation DepartmentTime period : 2017 - 2020Frequency of update : Always up-to-dateDate of Last Update : 2019-2020Geo-coverage : Sub-nationalGeo-coverage: National(*) : Chiang Rai province

The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feat ...

This dataset includes a regional map of mangrove extent for Myanmar, Thailand, and Cambodia for the period of 1972-1977. The map was developed from Landsat 1-2 MSS Collection 1 Tier 2 imagery. Mangrove extent was generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2 at the nominal Landsat scale of 30 m. This map of mangrove extent served as a baseline to analyze changes in mangrove distribution in Southeast Asia from 1970s through 2020. Southeast Asia is home to some of the planet's most carbon-dense and biodiverse mangrove ecosystems. There is still much uncertainty with regards to the timing and magnitude of changes in mangrove cover over the past 50 years. While there are several regional to global maps of mangrove extent in Southeast Asia for the early 21st century, data prior to the mid-1990s are limited due to the scarcity of Earth Observation (EO) data of sufficient quality and the historical limitations to publicly available EO data. The data are provided in Cloud optimized GeoTIFF format at 60-m resolution. In addition, a shapefile outlines the region of analysis.

GIS, LAT, LONG, เขตพื้นที่, เขตพื้นที่การปกครอง, หมู่บ้าน, ตำบล, อำเภอ, จังหวัด

ข้อมูลการใช้ที่ดินเป็นข้อมูลที่ได้จากการสำรวจ จำแนกสภาพการใช้ที่ดินปัจจุบัน (Present Land Use) ใช้เป็นข้อมูลในการกำหนดนโยบายและวางแผนการใช้ที่ดิน เป็นชุดข้อมูลที่ปรับปรุงล่าสุด ปี 2566