데이터 크레딧¶
폴리곤 내의 점들 폴리곤내부의 점 분석
공간 조회 수행 공간 조회 실행
최근린 분석 최근린 분석
일괄처리 과정 프로세싱 프레임을 이용한 일괄처리과정
pyqgis 시작하기 파이썬 프로그램밍 시작
인접 폴리곤 찾기 인접 폴리곤 찾기
qgis2leaf 플러그인으로 리플릿 지도만들기 qgis2leaf로 웹 지도 만들기
Natural Earth의 무료 벡터 및 래스터 지도 데이터 @ naturalearthdata.com로 만들었습니다.
스프레드쉬트와 CSV 불러오기 스프레드쉬트 혹은 CSV파일 불러오기
폴리곤 내의 점들 폴리곤내부의 점 분석
최근린 분석 최근린 분석
National Centers for Environmental Information / World Data Service (NGDC/WDS): The significant Earthquake Database. National Centers for Environmental Information, NOAA. doi:10.7289/V5TD9V7K
벡터테이터 스타일링 기초 기본 벡터 스타일링
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/
The Center for Sustainability and the Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison의 허가아래 사용되었습니다.
래스터 스타일링과 분석 래스터 스타일링과 분석 기초
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
래스터 붙이기와 잘라내기 래스터 붙이기(Mosaicing)와 자르기(Clipping)
NASA/HQ가 제공하는 기금으로 NASA/GSFC/Earth Science Data and Information System (ESDIS)에 의해 운영되는 Land Atmosphere Near-real time Capability for EOS (LANCE) 시스템의 결과물과 영상자료를 사용함에 있어 감사를 드립니다.
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
지형작업 지형데이터 작업
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.
WMS 작업 WMS 데이터 작업
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)
디지타이징 기초 디지타이징 맵 데이터
Land Information New Zealand (LINZ) and licensed by LINZ for re-use under the Creative Commons Attribution 3.0 New Zealand licence.
테이블 결합 수행 테이블 결합 작업
래스터 표본 데이터 점 또는 다각형을 이용한 래스터 데이터 표본 추출 작업
2018 TIGER/Line Shapefiles [machine-readable data files] prepared by the U.S. Census Bureau, 2018
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.
래스터 표본 데이터 점 또는 다각형을 이용한 래스터 데이터 표본 추출 작업
US Daily Maximum Temperature Analysis (C). Viviane Silva - NOAA Climate Prediction Center. Retrieved 2014-05-27
래스터 표본 데이터 점 또는 다각형을 이용한 래스터 데이터 표본 추출 작업
US Gazetteer files: 2013. United States Census Bureau. Retrieved 2014-05-27.
점 데이터의 보간 점 데이터 보간법
Texas Water Development Board . Completed Surveys and Data for Lake Arlington. 2007-12 Shapefiles. Retrieved 2014-11-26.
그래픽 모델러 처리 처리 모델러로 복잡한 작업흐름도 만들기
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
자동 지도 생성 Print Composer Atlas를 활용한 지도 생성 자동화
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
BIL, BIP, BSQ 파일 BIL, BIP 혹은 BSQ 파일 열기
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.
구글 지도 엔진 커넥터 QGIS에서 구글지도 커넥터 이용하기
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.
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