Geographic Data Analysis Using R
This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like line...
Zapisane w:
| 1. autor: | |
|---|---|
| Korporacja: | |
| Format: | Elektroniczne E-book |
| Język: | angielski |
| Wydane: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Wydanie: | 1st ed. 2024. |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/978-981-97-4022-2 |
| Etykiety: |
Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-981-97-4022-2 | ||
| 003 | DE-He213 | ||
| 005 | 20260810170600.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240803s2024 si | o |||| 0|eng d | ||
| 020 | |a 9789819740222 |9 978-981-97-4022-2 | ||
| 024 | 7 | |a 10.1007/978-981-97-4022-2 |2 doi | |
| 050 | 4 | |a G70.212-.217 | |
| 072 | 7 | |a RGW |2 bicssc | |
| 072 | 7 | |a SCI030000 |2 bisacsh | |
| 072 | 7 | |a RGW |2 thema | |
| 082 | 0 | 4 | |a 910.285 |2 23 |
| 100 | 1 | |a He, Xindong. |e author. |0 (orcid)0000-0003-0749-0500 |1 https://orcid.org/0000-0003-0749-0500 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Geographic Data Analysis Using R |h [electronic resource] / |c by Xindong He. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XX, 225 p. 100 illus.). |b 78 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction to Geographic Data and R -- Descriptive Analysis of Geographic Data -- Correlation Analysis -- Linear Regression Analysis -- Geographically Weighted Regression Analysis -- Time Series Analysis -- Cluster Analysis -- Principal Component Analysis (PCA) -- Markov Chain Analysis -- Geographic Network Analysis -- Spatial Interpolation. | |
| 520 | |a This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear regression analysis, geographically weighted regression analysis, time series analysis, cluster analysis, principal component analysis, Markov chain analysis, and geographical network analysis. The methodologies span from widely utilized techniques to more recent developments, and the data primarily originates from reputable sources in China. The example code provided in the book can be executed using R packages available on the CRAN website. This book is an invaluable resource for undergraduate and graduate students, as well as researchers interested in learning and applying R for processing, visualizing, and analyzing geographic data. It serves as an introductory course in quantitative methods in geography for students in geography departments. Additionally, it is an ideal supplementary text for applied methods courses across various disciplines that involve geographic data, such as human and physical geography, geographic information science, ecology, public health, crime, and economics. . | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Geographic information systems. | |
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a Environmental geography. | |
| 650 | 0 | |a Operations research. | |
| 650 | 1 | 4 | |a Geographical Information System. |
| 650 | 2 | 4 | |a Linear Models and Regression. |
| 650 | 2 | 4 | |a Integrated Geography. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789819740215 |
| 776 | 0 | 8 | |i Printed edition: |z 9789819740239 |
| 776 | 0 | 8 | |i Printed edition: |z 9789819740246 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-97-4022-2 |
| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||