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Geospatial Data

The federal government collects, maintains, and uses geospatial information -- data linked to specific geographic locations -- to help;

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Python Geospatial Development - Third Edition

applications based around maps and geospatial data using Python 3.x * Install and use various toolkits and obtain geospatial data for use in your;

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Big Data

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are;

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Big Data

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are;

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Next Generation Geospatial Information

-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made;

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Geospatial Data Science Techniques and Applications

unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw;

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Handbook of Big Geospatial Data

This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various;

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Mastering Geospatial Analysis with Python

Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using;

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Geospacial Computing In Mobile Devices

Geospatial computing includes utilizing computing devices and sensors to acquire, process, analyze, manage, and visualize geospatial data;

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Geospatial Information & GIS

Geospatial information is data referenced to a place (a set of geographic co-ordinates) which can often be gathered, manipulated, and;

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Geospatial Data Science Quick Start Guide

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key Features Manipulate location;

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Federal Geospatial Information

Geospatial information is data referenced to a place--a set of geographic coordinates--which can often be gathered, manipulated, and;

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Big Data Computing for Geospatial Applications

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Learning Geospatial Analysis with Python

Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS;

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Spatial Statistics

information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial;

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Learning Geospatial Analysis with Python

implementation in specialized kinds of Geospatial data analysis. This book is for anyone who wants to understand digital mapping and analysis and who;

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National Spatial Data Infrastructure Partnership Programs

of geospatial data to support a wide variety of decisions at all levels of society. The goals of the NSDI are to reduce redundancy in geospatial data;

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Map Librarianship

> Includes rarely discussed concepts of citing and referencing maps and geospatial data, fair use and copyright Creates an;

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Spatial Statistics

information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial;

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Geospatial Information Technology for Emergency Response

with irreversible damage. The timely provision of geospatial information is crucial in the decision-making process, and can save lives and;

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Geospatial Information Technology for Emergency Response

with irreversible damage. The timely provision of geospatial information is crucial in the decision-making process, and can save lives and;

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Georeferencing

, and agency contacts; data from remote sensing images or aerial photography is indexed by geospatial location (mathematical coordinates such as;

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Learning Geospatial Analysis With Python

automation or crunching data manually is appreciated What You Will Learn * Automate Geospatial analysis workflows using Python * Code the;

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Open Source Geospatial Tools: Applications in Earth Observation

interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and;

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Preliminary Principles and Guidelines for Archiving Environmental and Geospatial Data at NOAA

The National Oceanic and Atmospheric Administration (NOAA) collects and manages a wide range of environmental and geospatial data to;

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Geoprocessing with Python

DESCRIPTION Geospatial data is hard to ignore. Nearly every car, phone, or camera has a GPS sensor, and aerial photos, satellite;

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Distributed Hydrologic Modeling Using GIS

(GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes;

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