This article sets forth the principle and methodology for implementing spatial database management system (DBMS) by using open source object-relational DBMS-PostgreSQL. The geospatial data model and spatial analysis and processing operations for spatial objects and datasets can be inserted into the DBMS by extended SQL. To implement the statistics analysis embedded in spatial DBMS, an open source statistical program R is introduced to extend the capability of the spatial DBMS. R is a language and environment for statistical computing and graphics. There is a large sum of statistical methods in the form of packages in R. Many classical and modem spatial statistical techniques are implemented in R environment. PL/R is a loadable procedural la...
Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. https://doi.org...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
We give an overview of the papers published in this special issue on spatial statistics, of the Jour...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
<p>Effective Marine Spatial Planning (MSP) relies heavily on the collation of spatial data from a wi...
R is a language similar to S for statistical data analysis, based on modern programming concepts a...
This paper describes the development of a new R package for spatial data and statistics. We review e...
When most scientists and analysts have geospatial tasks to perform, they instinctively turn to tradi...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
R is a powerful and increasingly popular programming language with strong graphical and presentation...
'Spatial Databases' is the first unified, in-depth treatment of special techniques for dealing with ...
Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with sp...
Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with sp...
Spatial data can refer to elements that help place a certain object in a certain area. These element...
This book provides an introduction to the use of R for spatial statistical analysis, geocomputation ...
Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. https://doi.org...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
We give an overview of the papers published in this special issue on spatial statistics, of the Jour...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
<p>Effective Marine Spatial Planning (MSP) relies heavily on the collation of spatial data from a wi...
R is a language similar to S for statistical data analysis, based on modern programming concepts a...
This paper describes the development of a new R package for spatial data and statistics. We review e...
When most scientists and analysts have geospatial tasks to perform, they instinctively turn to tradi...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
R is a powerful and increasingly popular programming language with strong graphical and presentation...
'Spatial Databases' is the first unified, in-depth treatment of special techniques for dealing with ...
Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with sp...
Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with sp...
Spatial data can refer to elements that help place a certain object in a certain area. These element...
This book provides an introduction to the use of R for spatial statistical analysis, geocomputation ...
Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. https://doi.org...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
We give an overview of the papers published in this special issue on spatial statistics, of the Jour...