Geocomputation with Python:
"Geocomputation with Python (geocompy) is motivated by the need for an introductory, yet rigorous and up-to-date, resource for working with geographic data with the most popular programming language in the world. A unique selling point of the book is its cohesive and joined-up coverage of both...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2025
|
| Ausgabe: | First edition |
| Schriftenreihe: | Chapman & Hall/CRC the Python series
|
| Schlagworte: | |
| Online-Zugang: | DE-824 Volltext |
| Zusammenfassung: | "Geocomputation with Python (geocompy) is motivated by the need for an introductory, yet rigorous and up-to-date, resource for working with geographic data with the most popular programming language in the world. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent place to start for those starting our working on geographic data with Python, making it ideal for students and practitioners beginning their journey with Python. There are many resources on Python on 'GeoPython' but none that fill this need for an introductory resource that provides strong foundations for future work. This book fills an 'ecological niche' in the wider free and open-source software for geospatial ecosystem. Another unique feature is that this book is part of a wider community. Geocomputation with Python is a sister project of Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019), a book on geographic data analysis, visualization, and modeling using the R programming language that has 60+ contributors and an active community, not least in the associated Discord group. Links with the vibrant 'R-spatial' community, and other communities such as GeoRust and JuliaGeo, lead to many opportunities for mutual benefit across open-source ecosystems"-- |
| Beschreibung: | OCLC-licensed vendor bibliographic record |
| Beschreibung: | 1 Online-Ressource (344 Seiten) |
| ISBN: | 9781003379911 1003379915 9781040301630 1040301630 9781040301609 1040301606 |
| DOI: | 10.1201/9781003379911 |
Internformat
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| 100 | 1 | |a Dorman, Michael |d 1984- |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Geocomputation with Python |c Michael Dorman, Anita Graser, Jakub Nowosad and Robin Lovelace |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton, FL |b CRC Press |c 2025 | |
| 300 | |a 1 Online-Ressource (344 Seiten) | ||
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| 520 | |a "Geocomputation with Python (geocompy) is motivated by the need for an introductory, yet rigorous and up-to-date, resource for working with geographic data with the most popular programming language in the world. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent place to start for those starting our working on geographic data with Python, making it ideal for students and practitioners beginning their journey with Python. There are many resources on Python on 'GeoPython' but none that fill this need for an introductory resource that provides strong foundations for future work. This book fills an 'ecological niche' in the wider free and open-source software for geospatial ecosystem. Another unique feature is that this book is part of a wider community. Geocomputation with Python is a sister project of Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019), a book on geographic data analysis, visualization, and modeling using the R programming language that has 60+ contributors and an active community, not least in the associated Discord group. Links with the vibrant 'R-spatial' community, and other communities such as GeoRust and JuliaGeo, lead to many opportunities for mutual benefit across open-source ecosystems"-- | ||
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 4 | |a Geospatial data / Computer processing | |
| 650 | 4 | |a Geographic information systems | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Graser, Anita |4 aut | |
| 700 | 1 | |a Nowosad, Jakub |4 aut | |
| 700 | 1 | |a Lovelace, Robin |4 aut | |
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Datensatz im Suchindex
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| author | Dorman, Michael 1984- Graser, Anita Nowosad, Jakub Lovelace, Robin |
| author_facet | Dorman, Michael 1984- Graser, Anita Nowosad, Jakub Lovelace, Robin |
| author_role | aut aut aut aut |
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| bvnumber | BV050218338 |
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| dewey-full | 910.285/5133 |
| dewey-hundreds | 900 - History & geography |
| dewey-ones | 910 - Geography and travel |
| dewey-raw | 910.285/5133 |
| dewey-search | 910.285/5133 |
| dewey-sort | 3910.285 45133 |
| dewey-tens | 910 - Geography and travel |
| discipline | Geographie |
| doi_str_mv | 10.1201/9781003379911 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV050218338 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-03T12:01:12Z |
| institution | BVB |
| isbn | 9781003379911 1003379915 9781040301630 1040301630 9781040301609 1040301606 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035553352 |
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| owner_facet | DE-824 |
| physical | 1 Online-Ressource (344 Seiten) |
| psigel | ZDB-7-TFC ZDB-7-TFC UEI_PDA_TFC2_Kauf |
| publishDate | 2025 |
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| publisher | CRC Press |
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| series2 | Chapman & Hall/CRC the Python series |
| spelling | Dorman, Michael 1984- Verfasser aut Geocomputation with Python Michael Dorman, Anita Graser, Jakub Nowosad and Robin Lovelace First edition Boca Raton, FL CRC Press 2025 1 Online-Ressource (344 Seiten) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC the Python series OCLC-licensed vendor bibliographic record "Geocomputation with Python (geocompy) is motivated by the need for an introductory, yet rigorous and up-to-date, resource for working with geographic data with the most popular programming language in the world. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent place to start for those starting our working on geographic data with Python, making it ideal for students and practitioners beginning their journey with Python. There are many resources on Python on 'GeoPython' but none that fill this need for an introductory resource that provides strong foundations for future work. This book fills an 'ecological niche' in the wider free and open-source software for geospatial ecosystem. Another unique feature is that this book is part of a wider community. Geocomputation with Python is a sister project of Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019), a book on geographic data analysis, visualization, and modeling using the R programming language that has 60+ contributors and an active community, not least in the associated Discord group. Links with the vibrant 'R-spatial' community, and other communities such as GeoRust and JuliaGeo, lead to many opportunities for mutual benefit across open-source ecosystems"-- MATHEMATICS / Probability & Statistics / General bisacsh Geospatial data / Computer processing Geographic information systems Python (Computer program language) Graser, Anita aut Nowosad, Jakub aut Lovelace, Robin aut Erscheint auch als Druck-Ausgabe 9781032458915 Erscheint auch als Druck-Ausgabe 9781032460659 https://doi.org/10.1201/9781003379911 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dorman, Michael 1984- Graser, Anita Nowosad, Jakub Lovelace, Robin Geocomputation with Python MATHEMATICS / Probability & Statistics / General bisacsh Geospatial data / Computer processing Geographic information systems Python (Computer program language) |
| title | Geocomputation with Python |
| title_auth | Geocomputation with Python |
| title_exact_search | Geocomputation with Python |
| title_full | Geocomputation with Python Michael Dorman, Anita Graser, Jakub Nowosad and Robin Lovelace |
| title_fullStr | Geocomputation with Python Michael Dorman, Anita Graser, Jakub Nowosad and Robin Lovelace |
| title_full_unstemmed | Geocomputation with Python Michael Dorman, Anita Graser, Jakub Nowosad and Robin Lovelace |
| title_short | Geocomputation with Python |
| title_sort | geocomputation with python |
| topic | MATHEMATICS / Probability & Statistics / General bisacsh Geospatial data / Computer processing Geographic information systems Python (Computer program language) |
| topic_facet | MATHEMATICS / Probability & Statistics / General Geospatial data / Computer processing Geographic information systems Python (Computer program language) |
| url | https://doi.org/10.1201/9781003379911 |
| work_keys_str_mv | AT dormanmichael geocomputationwithpython AT graseranita geocomputationwithpython AT nowosadjakub geocomputationwithpython AT lovelacerobin geocomputationwithpython |