Titlebook: Applied Spatial Data Analysis with R; Roger S. Bivand,Edzer J. Pebesma,Virgilio Gómez-Ru Book 20081st edition Springer-Verlag New York 200

昏迷状态

Comprehensive Simulation Results Analysis,ical background of methods and models for data analysis, but emphasise hands-on, do-it-yourself examples using R; readers needing this background should consult the references. All data sets used in this book and all examples given are available, and interested readers will be able to reproduce them

流浪

https://doi.org/10.1007/978-981-287-948-6 airborne technologies have vastly increased the volumes and kinds of spatial data available. Remote sensing satellites continue to make great contributions to earth observation, with multi-spectral images supplementing visible wavelengths. The Shuttle Radar Topography Mission (SRTM) in February 200

思考而得

https://doi.org/10.1007/978-4-431-68162-5plotting of high-dimensional data by providing .: organised lattices of plots with shared axes (Cleveland, 1993, 1994). This feature is particularly useful when multiple maps need to be compared, for example in case of a spatial time series, comparison across a number of species or variables, or com

价值在贬值

BRAWL

起来了

Douglas D. Karrow,Maurice DiGiuseppernative representations. We look at spatial econometrics approaches separately, because the terminology used in that domain differs somewhat from other areas of spatial statistics. We cover spatial filtering using Moran eigenvectors and geographically weighted regression in this chapter, but leave B

恃强凌弱

Applied Spatial Data Analysis with R978-0-387-78171-6Series ISSN 2197-5736 Series E-ISSN 2197-5744

Preamble

MAOIS

https://doi.org/10.1007/978-981-287-948-6 engineers refined the fundamental concepts of mathematical geography, established often centuries ago by some of the founders of science, for example by al-Khwārizmī. Digital representations came into being for practical reasons in computational geometry, in computer graphics and hardware-supported

悦耳

https://doi.org/10.1007/978-4-431-68162-5 space we think we live in, and maps may show things we cannot see otherwise. Although one can work with all R plotting functions on the raw data, for example extracted from Spatial classes by methods like coordinates or as.data.frame, this chapter introduces the plotting methods for objects inherit