Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 480
Book Description
Computer Software for Spatial Data Handling: Cartography and graphics
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 480
Book Description
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 480
Book Description
Computer Software for Spatial Data Handling
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 476
Book Description
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 476
Book Description
Computer Software for Spatial Data Handling: Full geographic information systems
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 304
Book Description
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 304
Book Description
Geocomputation with R
Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335
Book Description
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 statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335
Book Description
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 statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Data User News
Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 520
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 520
Book Description
Data User News
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 104
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 104
Book Description
Computer Software for Spatial Data Handling: Data manipulation programs
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 312
Book Description
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 312
Book Description
Department of the Interior and Related Agencies Appropriations for 1993: Justification of the budget estimates, Geological Survey
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1372
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1372
Book Description
Department of the Interior and Related Agencies Appropriations for 1993
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1358
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1358
Book Description
Computer Software for Spatial Data Handling: Cartography and graphics
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 478
Book Description
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 478
Book Description