Python for geospatial data analysis : theory, tools, and practice for location intelligence / Bonny P. McClain.
By: McClain, Bonny P [author.].
Material type:
BookPublisher: Sebastopol, CA : O'Reilly Media, Inc, 2023Edition: First edition.Description: xv, 262 pages : illustrations (chiefly color), maps ; 24 cm.ISBN: 9781098104795.Subject(s): Geospatial data | Python (Computer program language) | Geospatial data | Python (Computer program language)DDC classification: 005.133 M478P 2023 | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Books
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Information Technology University, Lahore General Stacks | 005.133 M478P 2023 (Browse shelf) | Checked out to Dr. Muhammad Adnan Siddique (002cdc3ff1) | 29/11/2024 | 008954 |
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| 005.133 M251C 2015 C++ Programming from problem Analysis to program design | 005.133 M251D 2012 Data Structures using c++ / | 005.133 M426C 2011 Core java : | 005.133 M478P 2023 Python for geospatial data analysis : theory, tools, and practice for location intelligence / | 005.133 M647P 2014 Python programming in context / | 005.133 M875P 2009 Programming with C++ \ John R. Hubbard | 005.133 M918C 2012. C++ programming : |
NBL010524
Introduction to geospatial analytics -- Essential facilities for spatial analysis -- QGIS: exploring PyQGIS and native algorithms for spatial analytics -- Geospatial analytics in the cloud: Google Earth Engine and other tools -- OpenStreetMap: accessing geospatial data with OSMnx -- The ArcGIS Python API -- GeoPandas and spatial statistics -- Data cleaning -- Exploring the Geospatial Data Abstraction Library (GDAL) -- Using Python to measure climate data.
"Tobler's first law of geography states, "Everything is related to everything else, but near things are more related than distant things." But if you look at Tobler's second law, "Phenomena external to a geographic area of interest affect what goes on inside it," you can see why a geographer and data analyst brings the science of location into data stories and large-scale research projects. With this practical book, geospatial professionals, data scientists, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis." -- Page 4 of cover.
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