eBook
Geocomputation with R
| Title: | Geocomputation with R |
|---|---|
| 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/. |
| Authors: | Robin Lovelace, Jakub Nowosad, Jannes Muenchow |
| Resource Type: | eBook. |
| Subjects: | Information storage and retrieval systems--Geography, Geographic information systems, R (Computer program language), Spatial analysis (Statistics)--Data processing |
| Categories: | MATHEMATICS / Probability & Statistics / General, SCIENCE / Earth Sciences / Geography, SCIENCE / Earth Sciences / Geology, TRAVEL / Parks & Campgrounds |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 2090309 RelevancyScore: 943 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 943.441711425781 |
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| Items | – Name: Title Label: Title Group: Ti Data: Geocomputation with R – Name: Abstract Label: Description Group: Ab Data: 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/. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Robin+Lovelace%22">Robin Lovelace</searchLink><br /><searchLink fieldCode="AR" term="%22Jakub+Nowosad%22">Jakub Nowosad</searchLink><br /><searchLink fieldCode="AR" term="%22Jannes+Muenchow%22">Jannes Muenchow</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+storage+and+retrieval+systems--Geography%22">Information storage and retrieval systems--Geography</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+analysis+%28Statistics%29--Data+processing%22">Spatial analysis (Statistics)--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Earth+Sciences+%2F+Geography%22">SCIENCE / Earth Sciences / Geography</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Earth+Sciences+%2F+Geology%22">SCIENCE / Earth Sciences / Geology</searchLink><br /><searchLink fieldCode="ZK" term="%22TRAVEL+%2F+Parks+%26+Campgrounds%22">TRAVEL / Parks & Campgrounds</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2090309 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 910.2855133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Information storage and retrieval systems--Geography Type: general – SubjectFull: Geographic information systems Type: general – SubjectFull: R (Computer program language) Type: general – SubjectFull: Spatial analysis (Statistics)--Data processing Type: general Titles: – TitleFull: Geocomputation with R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Robin Lovelace – PersonEntity: Name: NameFull: Jakub Nowosad – PersonEntity: Name: NameFull: Jannes Muenchow – PersonEntity: Name: NameFull: Robin Lovelace – PersonEntity: Name: NameFull: Jakub Nowosad – PersonEntity: Name: NameFull: Jannes Muenchow IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 – D: 26 M: 03 Type: profile Y: 2019 Identifiers: – Type: isbn-print Value: 9781138304512 – Type: isbn-print Value: 9780367670573 – Type: isbn-electronic Value: 9781351396899 – Type: isbn-electronic Value: 9781351396905 – Type: isbn-electronic Value: 9780203730058 Titles: – TitleFull: Geocomputation with R Type: main |
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