Kredit Data

[NATURALEARTH]

Dibuat dengan Natural Earth. Data peta vektor dan raster gratis @ naturalearthdata.com.
[NGDC]National Geophysical Data Center / World Data Service (NGDC/WDS): Significant Earthquake Database. National Geophysical Data Center, NOAA. doi:10.7289/V5TD9V7K
[WRI]Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/
[SAGE]

Digunakan atas izin The Center for Sustainability and the Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison
[GPW3]Center for International Earth Science Information Network - CIESIN - Columbia University, and Centro Internacional de Agricultura Tropical - CIAT. 2005. Gridded Population of the World, Version 3 (GPWv3): Population Density Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/gpw-v3-population-density. Accessed 30 Jan 2014
[GPW4]Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BX5. Accessed 27 JUNE 2019
[LANCE]

Kami mengakui adanya penggunaad produk data atau citra dari the Land Atmosphere Near-real time Capability for EOS (LANCE) systemthe Land Atmosphere Near-real time Capability for EOS (LANCE) system yang dioperasikan oleh NASA/GSFC/Earth Science Data and Information System (ESDIS) yang didanai oleh NASA/HQ.
[SRTM]NASA Shuttle Radar Topography Mission Global 1 arc second provided by The Land Processes Distributed Active Archive Center (LP DAAC). Downloaded using 30-Meter SRTM Tile Downloader
[GMTED2010]Danielson, J.J., and Gesch, D.B., 2011, Global multi-resolution terrain elevation data 2010 (GMTED2010): U.S. Geological Survey Open-File Report 2011–1073, 26 p.
[MRDATA]Jennings, C.W., Strand, R.G., and Rogers, T.H., 1977, Geologic map of California: California Division of Mines and Geology, scale 1:750,000.
[OSOPENDATA]Contains OS data © Crown copyright [and database right] (2015)
[LINZ]

Land Information New Zealand (LINZ) <http://www.linz.govt.nz/>`_ and licensed by LINZ for re-use under the Creative Commons Attribution 3.0 New Zealand licence.
[TIGER]2018 TIGER/Line Shapefiles [machine-readable data files] prepared by the U.S. Census Bureau, 2018
[USCENSUS]U.S. Census Bureau, 2013-2017 American Community Survey 5-Year Estimates
[CITYOFNY]© 2019 The City of New York. All Right Reserve. NYC is a trademark and service mark of the City of New York.
[CITYOFMELBOURNE]© 2019 The City of Melbourne Open Data Portal. Data provided by Metro Trains Melbourne and Census of Land Use and Employment (CLUE)
[POLICEUK]ASB Incidents, Crime and Outcome - UK Home Office. Retrieved 2015-10-10.
[NOAACPC]US Daily Maximum Temperature Analysis (C). Viviane Silva - NOAA Climate Prediction Center. Retrieved 2014-05-27
[USGAZETTEER]

US Gazetteer files: 2013. United States Census Bureau. Retrieved 2014-05-27.
[TWDB]Texas Water Development Board . Completed Surveys and Data for Lake Arlington. 2007-12 Shapefiles. Retrieved 2014-11-26.
[GLCF_MODIS]Channan, S., K. Collins, and W. R. Emanuel. 2014. Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA.
[NGA_MSI]Maritine Safety Information portal , National Geospatial-Intelligence Agency
[HAWAII]State of Hawaii - Office of Planning
[PRISM]PRISM Climate Group , Oregon State University, , published on 2 May 2019.
[CITYOFSEATTLE]City of Seattle Open Data portal, Zip code data supplied by King County.
[GEOFABRIK]Data/Maps Copyright 2015 Geofabrik GmbH and OpenStreetMap Contributors
[GLCF]DeFries, R., Hansen, M., Townshend, J. R. G. and Sohlberg, R., 1998, Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers, International Journal of Remote Sensing; 19 (16): 3141-3168.
[SFMTA]SFMTA Livable Streets. Published by: Municipal Transportation Agency
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