上次发帖的时候有个坛友提到了空间计量，这一块我不懂，找了两篇利用R分析空间数据的文章，同样出自JSS，希望有所帮助！懂得空间计量的坛友有什么好资料也请不要吝啬，拿出来分享一下！


[size=13.333333015441895px]This document describes classes and methods designed to deal with different types of spatio-temporal data in R implemented in the R package spacetime, and provides examples for analyzing them. It builds upon the classes and methods for spatial data[size=13.333333015441895px] from package sp, and for time series data from package xts. The goal is to cover a number of useful representations for spatio-temporal sensor data, and results from predicting (spatial and/or temporal interpolation or smoothing), aggregating, or subsetting them, and to represent trajectories. The goals of this paper is to explore how spatio-temporal data can be sensibly represented in classes, and to find out which analysis and visualisation methods are useful and feasible. We discuss the time series convention of representing time intervals by their starting time only. This document is the main reference for the R package spacetime, and is available (in updated form) as a vignette in this package.


[size=13.333333015441895px]We present GeoXp, an R package implementing interactive graphics for exploratory [size=13.333333015441895px] spatial data[size=13.333333015441895px] analysis. We use a data set concerning public schools of the French Midi- Pyr [size=13.333333015441895px]en 攃攀猀嬀/size][size=13.333333015441895px] region to illustrate the use of these exploratory techniques based on the coupling between a statistical graph and a map. Besides elementary plots like boxplots, histograms or simple scatterplots, GeoXp also couples maps with Moran scatterplots, variogram clouds, Lorenz curves and other graphical tools. In order to make the most of the multidimensionality of the data, GeoXp includes dimension reduction techniques such as principal components analysis and cluster analysis whose results are also linked to the map.