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Geospatial data --- Geographic information systems --- Data, Geospatial
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Geospatial data --- Data, Geospatial --- Geographic information systems
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This workshop will review quantitative socio-economic methodologies and metrics for assessing and communicating the value of geospatial information."--Http://www.ieee-earth.org/event/socio-economic-benefits-workshop-2012.
Geospatial data --- Economic aspects. --- Data, Geospatial --- Geographic information systems
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Geospatial data --- Data mining --- Data, Geospatial --- Geographic information systems
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Geospatial data --- Graphic methods. --- Data, Geospatial --- Geographic information systems
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Geospatial data --- Graphic methods. --- Data, Geospatial --- Geographic information systems
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Geospatial data --- Environmental sciences --- Data, Geospatial --- Geographic information systems --- Data processing. --- Data processing --- Computer processing.
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If you know Python and would like to use it for Geospatial Analysis this book is exactly what you’ve been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how. Construct applications for GIS development by exploiting Python Focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system – no compiling of C libraries necessary SThis is a practical, hands-on tutorial that teaches you all about Geospatial analysis in Python In Detail Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data. "Learning Geospatial Analysis with Python" uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms. "Learning Geospatial Analysis with Python" starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data. This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis. I"Learning Geospatial Analysis with Python" will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.
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Geospatial data. --- Geospatial data --- Computer processing. --- Data, Geospatial --- Geographic information systems --- Data processing
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Geospatial data --- Big data --- Data mining --- Data sets, Large --- Large data sets --- Data sets --- Data, Geospatial --- Geographic information systems
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