Spatial data and geographic information systems (GIS) in R

GIS is an acronym that is typically used to refer to a geographic information system (but sometimes geographic information science). For our purposes I will define a GIS narrowly to refer to any software that can read, store, analyze, combine and otherwise manipulate spatially referenced data (data that is tied to location(s) on the earth’s surface). The main conceptual feature of a geographic information system is that it can layer data based on their co-location such that seemingly unrelated data can be combined based on the fact they are located in the same area (Figure 1.1). What the software then allows us to do is to organize the spatial information of an area, analyze and visualize patterns to obtain insight into relationships between and within geographic features.

RAPIDGATOR:
https://rapidgator.net/file/cf53e3f2cbacd194e332afca3ef6a89e/Spatial_data_and_geographic_information_systems_(GIS)_in_R.part1.rar.html
https://rapidgator.net/file/ebc4fab02a0a075a2d3fdf967892823f/Spatial_data_and_geographic_information_systems_(GIS)_in_R.part2.rar.html

TURBOBIT:
https://trbt.cc/8dsiaf4prbz2/Spatial_data_and_geographic_information_systems_(GIS)_in_R.part1.rar.html
https://trbt.cc/3roinqst01gg/Spatial_data_and_geographic_information_systems_(GIS)_in_R.part2.rar.html