Fonti dei dati¶
punti in un poligono
effettuare interrogazioni spaziali
analisi di prossimità
doc:elaborazioni batch
trovare i poligoni confinanti
Mappe leaflet con qgis2leaf
Automating Complex Workflows using Processing Modeler (QGIS3)
Pagine realizzate usando i dati di Natural Earth.
importare fogli elettronici e csv
punti in un poligono
analisi di prossimità
National Centers for Environmental Information / World Data Service (NGDC/WDS): The significant Earthquake Database. National Centers for Environmental Information, NOAA. doi:10.7289/V5TD9V7K
tematizzazioni vettoriali
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/
Utilizzati con il permesso del Center for Sustainability and the Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison.
raster tematizzazioni ed analisi
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
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
mosaici e operazioni di ritaglio con i layer raster
Intendiamo esprimere la nostra riconoscenza per l’uso dei dati immagine prodotti dal Land Atmosphere Near-real time Capability for EOS (LANCE) un sistema operante per conto del NASA/GSFC/Earth Science Data and Information System (ESDIS) con finanziamenti di NASA/HQ.
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
lavorare con i dati del terreno
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.
lavorare con i dati wms
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.
Contains OS data © Crown copyright [and database right] (2015)
vettorializzare mappe
Land Information New Zealand (LINZ) and licensed by LINZ for re-use under the Creative Commons Attribution 3.0 New Zealand licence.
realizzare unioni tabellari
campionare i dati raster
2018 TIGER/Line Shapefiles [machine-readable data files] prepared by the U.S. Census Bureau, 2018
realizzare unioni tabellari
U.S. Census Bureau, 2013-2017 American Community Survey 5-Year Estimates and Cartographic Boundary Files - Shapefile: 2018
© 2019 The City of New York. All Right Reserve. NYC is a trademark and service mark of the City of New York.
© 2019 The City of Melbourne Open Data Portal. Data provided by Metro Trains Melbourne and Census of Land Use and Employment (CLUE)
ASB Incidents, Crime and Outcome - UK Home Office. Retrieved 2015-10-10.
India State boundary: Downloaded from Datameet Spatial Data repository.
campionare i dati raster
US Daily Maximum Temperature Analysis (C). Viviane Silva - NOAA Climate Prediction Center. Retrieved 2014-05-27
campionare i dati raster
US Gazetteer files: 2013. United States Census Bureau. Retrieved 2014-05-27.
interpolare dati puntuali
Texas Water Development Board . Completed Surveys and Data for Lake Arlington. 2007-12 Shapefiles. Retrieved 2014-11-26.
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.
Maritime Safety Information portal , National Geospatial-Intelligence Agency
District of Columbia Open Data Catalog. Accessed: August 2019
Contains data provided by Kochi Metro Rail Limited. Downloaded: August 2019
This product HydroBASINS incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2013) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within [insert Licensee Derivative Product name], and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The HydroSHEDS database and more information are available at http://www.hydrosheds.org.
Monthly Summaries of the Global Historical Climatology Network - Daily (GHCN-D) Precipitation. NOAA National Climatic Data Center. Accessed on 2021-05-01.
PRISM Climate Group , Oregon State University, , published on 2 May 2019.
City of Seattle Open Data portal, Zip code data supplied by King County.
Data/Maps Copyright 2021 Geofabrik GmbH and OpenStreetMap Contributors
arpire file bil bip bsq
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.
usare il connettore gme
SFMTA Livable Streets. Published by: Municipal Transportation Agency
Downloaded from OpenCity Urban Data Portal by Oorvani Foundation and DataMeet.
The land cover datasets are provided by Department of Environment, Forestry and Fisheries, South Africa. Downloaded from E-GIS website E-GIS website
City of Johannesburg shapefile is provided by COJ Spatial Development Framework 2040
Data retrieved from Uber Movement, (c) 2021 Uber Technologies, Inc., https://movement.uber.com. Maps Provided by Spatial Data of Municipalities (Maps) Project [http://projects.datameet.org/Municipal_Spatial_Data/] by Data{Meet}. It’s made available under the Creative Commons Attribution-ShareAlike 2.5 India.
UNEP-WCMC and IUCN (2022), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], April 2022, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.
Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. https://doi.org/10.5281/zenodo.5571936
Survey of India. Office of the Surveyor General of India
Tozer, B, Sandwell, D. T., Smith, W. H. F., Olson, C., Beale, J. R., & Wessel, P. (2019). Global bathymetry and topography at 15 arc sec: SRTM15+. Distributed by OpenTopography. https://doi.org/10.5069/G92R3PT9. Accessed: 2024-03-26
U.S. Geological Survey, National Geospatial Technical Operations Center - 3D Elevation Program, 20220819, USGS NED 1/3 arc-second Contours for Austin E, Texas 20220819 1 x 1 degree GeoPackage: U.S. Geological Survey.
Map data from OpenStreetMap.
If you want to give feedback or share your experience with this tutorial, please comment below. (requires GitHub account)