Open Source Geospatial Tools
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be...
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2015
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| Accesso online: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58250 |
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oai:scholar.dlu.edu.vn:DLU123456789-582502023-11-11T06:04:39Z Open Source Geospatial Tools McInerney, Daniel Kempeneers, Pieter Geographic information systems Open source software Earth Sciences Geography This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software. 2015-09-14T08:06:24Z 2015-09-14T08:06:24Z 2015 Book 978-3-319-01824-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58250 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Geographic information systems Open source software Earth Sciences Geography |
| spellingShingle |
Geographic information systems Open source software Earth Sciences Geography McInerney, Daniel Kempeneers, Pieter Open Source Geospatial Tools |
| description |
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks.
A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software. |
| format |
Book |
| author |
McInerney, Daniel Kempeneers, Pieter |
| author_facet |
McInerney, Daniel Kempeneers, Pieter |
| author_sort |
McInerney, Daniel |
| title |
Open Source Geospatial Tools |
| title_short |
Open Source Geospatial Tools |
| title_full |
Open Source Geospatial Tools |
| title_fullStr |
Open Source Geospatial Tools |
| title_full_unstemmed |
Open Source Geospatial Tools |
| title_sort |
open source geospatial tools |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58250 |
| _version_ |
1819809775106392064 |