Dataset

This dataset was created by Imam Muhajir

Contents

Download high-quality, up-to-date Indonesia shapefile boundaries (SHP, projection system SRID 4326). Our Indonesia 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 layer shows 2017 land cover, classified by type. The data is sourced from 2017 Ministry of Environment & Forestry data (1:250,000 scale). The World Resources Institute reclassified the original land cover categories from the Ministry of Environment & Forestry dataset for use in the Suitability Mapper (2012), into the following categories:Primary Forest: Primary dry land forest, primary mangrove forest, primary swamp forestSecondary Forest: Secondary dry land forest, secondary mangrove forest, secondary swamp forestPlantation Forest: Plantation forestGrass Land: Bush/Shrub, SavannahCropland: Estate crop plantation, dryland agriculture, shrub-mixed dryland farm, rice fieldOther Land: Bare land, fish pond, airport/ harbor, mining areaSettlement: Transmigration area, settlement areaWetland: Swamp, swamp shrubUnknown: CloudBodies of Water: Bodies of waterOriginal data available at http://geoportal.menlhk.go.id/arcgis/rest/services/KLHKEN under “LandCover_2017."

The GIS database has been developed by under the Small Hydropower Mapping and Improved Geospatial Electrification Planning in Indonesia Project [Project ID: P145273]. The scope of the project was to facilitate and improve the planning and investment process for small hydro development both grid and isolated systems through: building up a central database on smal hydro at national scale and validating the mapping of small hydro in NTT, Maluku, Maluku Utara and Sulawesi improved electrification planning by integrating small hydro potential for the provinces of NTT, Maluku, Maluku Utara and Sulawesi into the planning process. Please refer to the country project page for additional outputs and reports: https://www.esmap.org/re-mapping/indonesia The GIS database contains the following datasets: SHP(promising sites) Admin Divisions Topomas_grid Rivers, Geology Forest_areas Roads RainfallGauges RunoffGauges ElectricSystem, each accompanied by a metadata file. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Indonesia Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/indonesia-small-hydro-gis-database-2017"

Points represent capital cities of Indonesia. Includes National, Provincial, and Regency capitals, as well as Kotas.

This layer shows soil type, based on the result of a classification established from Kalimantan RePPProT data on 'SL_ORDER' field (1990, 1:250,000 scale) . This data was provided and processed by Daemeter Consulting. Soil categories from RePPProT were then re-classified by the World Resources Institute according to the FAO Digital Soil Map of the World, for use in the Suitability Mapper (2012). The FAO data is available at http://www.fao.org/geonetwork/srv/en/metadata.show?id=14116 . Data separated into categories: Inceptisol; Oxisol; Alfisol; Ultisol; Spodosol; Entisol; Histosol.

Jumlah data SHP peta dasar Jumlah data SHP peta dasar

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.

Data SHP Sebaran Gardu Listrik Skala 1:25000 di Wilayah Kota Palembang

This map illustrates affected mining areas in the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-7 and Landsat-8 multispectral imagery acquired on 26 May 2002 and 24 September 2014 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 26 May 2002 and 24 September 2014 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Dataset ini menyajikan data Peta (SHP) untuk Diunggah dalam Bentuk Link Google Drive (eWalidata) dalam satuan dokumen. Dataset ini berkaitan dengan eWalidata. Data ini dihasilkan oleh Dinas Pekerjaan Umum dan Penataan Ruang Aceh yang dikeluarkan dalam periode tahunan.

Peta digital dalam bentuk format shapefile (shp) yang diunggah dalam bentuk link google drive.

Jumlah perkada tentang RDTR Kabupaten/Kota dan lampiran (dalam format softcopy *shp dan hardcopy)

No abstract provided

Data SHP Admin Provinsi Jambi

No abstract provided

Rancangan Perkada tentang RDTR Kabupate/Kota dan lampiran (dalam format softcopy *SHP dan hardcopy)

Struktur geologi adalah bentuk-bentuk geometri yang terbentuk pada kulit bumi akibat deformasi kerak bumi. Data Struktur Geologi ini berasal dari Pemetaan Geologi oleh Pusat Penelitian dan Pengembangan Geologi (Badan Geologi) tahun 1982-1996.

Dokumen Naskah akademik rancangan peraturan daerah RTRW Kabupaten/Kota (dalam format softcopy (format *SHP) dan hardcopy).

Data SPBB Nelayan Kota Pekalongan