The widespread use of geographical information systems (GIS) has increased the demand for knowledge about spatial analytical techniques across a range of disciplines. This text provides an overview of the latest developments in the field.
"The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for spec…
The SAGE handbook of spatial analysis
The widespread use of geographical information systems (GIS) has increased the demand for knowledge about spatial analytical techniques across a range of disciplines. This text provides an overview of the latest developments in the field.
The SAGE handbook of spatial analysis
The widespread use of geographical information systems (GIS) has increased the demand for knowledge about spatial analytical techniques across a range of disciplines. This text provides an overview of the latest developments in the field.
The SAGE handbook of spatial analysis
This Handbook is designed to highlight current issues and techniques in spatial data analysis as well as highlighting future directions for research. "The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial…
"The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for spec…
A hands-on introduction for the increasing number of students and researchers collecting and using spatial data across the social sciences. A definitive 'how to', it takes students and researchers in any discipline from coding to actual applications and uses of R.
1. Nonparametric statistics on manifolds -- 2. Asymptotic theory and nonparametric bootstrap on special manifolds -- 3. Applications in object data analysis on manifolds -- 4. Additional topics.