Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and TechnologySAGE, 11.01.2013 - 200 Seiten "Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in:
It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes. |
Inhalt
| 1 | |
| 8 | |
3 Spatial Sampling | 23 |
4 Spatial Composition and Configuration | 44 |
5 Spatially Adjusted Regression and Related Spatial Econometrics | 68 |
Hot and Cold Spots | 92 |
7 Analyzing Spatial Variance and Covariance with Geostatistics and Related Techniques | 103 |
8 Methods for Spatial Interpolation in Two Dimensions | 127 |
9 More Advanced Topics in Spatial Statistics | 149 |
| 169 | |
| 174 | |
Andere Ausgaben - Alle anzeigen
Spatial Statistics and Geostatistics: Theory and Applications for Geographic ... Yongwan Chun,Daniel A Griffith Eingeschränkte Leseprobe - 2013 |
Spatial Statistics and Geostatistics: Theory and Applications for Geographic ... Yongwan Chun,Daniel A Griffith Keine Leseprobe verfügbar - 2013 |
Spatial Statistics and Geostatistics: Theory and Applications for Geographic ... Yongwan Chun,Daniel A Griffith Keine Leseprobe verfügbar - 2013 |
Häufige Begriffe und Wortgruppen
account for roughly accounting for spatial adjusted analysis ANOVA back—transformation Bessel function bootstrap Calculate Chapter co-kriging Computer Code covariate Create data=EV denotes densities in 2007 density of farmland deviance statistic eigenvector spatial filter equation estimate exponential model F Regions F-ratio factor farm density filter furnishes geographic distribution georeferenced geostatistics Griffith implementations imputations intercept interpolation jackknife kriging kriging predictions landscape legend("bottomright Levene’s test linear operator linear operator filtered linear regression listw locations mapping.seq(pr mean missing—value Monte Carlo Moran scatterplot observed package Pigure pixels Plot plot(pr Poisson Poisson regression polygon positive spatial autocorrelation pr.listb predicted values Puerto Rico quadratic rain random sampling regression model residuals sampling distribution selected eigenvectors semi—variogram simulation experiments spatial autocorrelation spatial autoregression spatial filter model spatial linear operator spatial statistics specification standard deviation Standard error stepwise regression stratified techniques temperature tessellation transformed elevation transformed rainfall trend line variance variogram vector WinBUGS z—scores