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Geocomputation with R

Discusses sf, a new foundational package that defines a new set of classes for working with spatial data in R Developed as an open source;

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An Introduction to R for Spatial Analysis and Mapping

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical;

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An Introduction to R for Spatial Analysis and Mapping

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical;

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Advances in Geocomputation

-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community;

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Geocomputation

Geocomputation A Primer edited by Paul A Longley Sue M Brooks Rachael McDonnell School of Geographical Sciences, University of Bristol, UK;

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GeoComputation

in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one;

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A New GeoComputation Pattern and Its Application in Dual Evaluation

This book introduces Document As System (DAS), a new GeoComputation pattern, which is also a new GIS application pattern. It uses the;

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Geocomputation

Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era;

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Geocomputation with R

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a;

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Evolving Cities

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and;

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GIS and Geocomputation for Water Resource Science and Engineering

GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals;

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GIS and Geocomputation for Water Resource Science and Engineering

GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals;

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GeoComputation and Public Health

GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify;

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GeoComputation and Public Health

GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify;

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An Introduction to R for Spatial Analysis and Mapping

in spatial analysis and mapping.This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and;

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Handbook of Mathematical Geosciences

geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.;

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Key Concepts and Techniques in GIS

and spatial analysis geocomputation - including discussion of neural networks, cellular automata, and agent-based modelling Illustrated;

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Key Concepts and Techniques in GIS

and spatial analysis geocomputation - including discussion of neural networks, cellular automata, and agent-based modelling Illustrated;

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Rock With It (Rockin With the R&B *2) .. With the R&B *2) .. WITH THE R&B *2). V/A, CD

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GeoDynamics

While remote sensing gives a surface depiction of the world, its recent convergence with GIS enables richer depictions that can be used to;

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Geocomputation and Urban Planning

data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are;

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Learning RStudio for R Statistical Computing

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;

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Statistics With R

Drawing on examples from across the social and behavioral sciences, Statistics With R: Solving Problems Using Real-World Data introduces;

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R for Programmers

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data;

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R for Programmers

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data;

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Big Data Analytics with R and Hadoop

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;

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Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide;

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