Geocomputation With R Av Robin (University Of Leeds Uk) Lovelace, Jakub Nowosad, Jannes (Friedrich Schiller University Jena Germany) Muenchow

Geocomputation With R Av Robin (University Of Leeds Uk) Lovelace, Jakub Nowosad, Jannes (Friedrich Schiller University Jena Germany) Muenchow

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 knowledg......
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<P><STRONG>Geocomputation with R</STRONG> 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.</P><br/><br/><P>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 pr
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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.

Produktinformasjon

Utforsk Geocomputation With R

Er du klar for å ta din forståelse av geografiske data til neste nivå? Geocomputation With R Av Robin Lovelace, Jakub Nowosad og Jannes Muenchow er boka for deg som ønsker å analysere, visualisere og modellere geografiske data ved hjelp av kraften i åpen kildekode-programvare. Bygget på R, et statistisk programmeringsspråk kjent for sine formidabel datahåndterings- og visualiseringsevner, gir denne boka deg verktøyene for å takle både vitenskapelige og samfunnsmessige spørsmål knyttet til geografiske data.

Innhold og Struktur i Boken

Boken er delt inn i tre omfattende deler:

  • Del I: Grunnprinsipper - Lær det grunnleggende om geografiske data i R, inkludert import og eksport av data og transformering av koordinatsystemer.
  • Del II: Utvidelser - Dykker dypere inn i avanserte teknikker, inkludert web mapping og metoder for deling av reproducerbar kode.
  • Del III: Anvendelser - Bruk ferdighetene du har tilegnet deg til å løse virkelige problemer, som modellering av transportsystemer og økologisk modellering.

Praktiske Øvelser for Å Lære Deltagerne

For å sikre at du virkelig mestrer innholdet, inneholder boka øvelser på slutten av hvert kapittel. Dette gir deg muligheten til å anvende det du har lært og å fronte en rekke geospatial utfordringer. I tillegg finnes det løsninger og supplerende materiale tilgjengelig på nettstedet vårt.

Møt Forfatterne Bak Geocomputation With R

Dr. Robin Lovelace er akademisk stipendiater ved University of Leeds og har mange års erfaring med undervisning i R for geografisk forskning. Dr. Jakub Nowosad og Dr. Jannes Muenchow bringer også med seg verdifull erfaring fra henholdsvis Adam Mickiewicz University og Friedrich Schiller University, og fokuserer på analyser av store datasett og utvikling av geografiske metoder.

~Oppdag kraften i geodatasimulering med en lettfattelig, engasjerende tilnærming som vil hjelpe deg med å forstå og navigere i den komplekse verden av geografisk informatikk!~

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