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Spatio-temporal Kriging
Spatio-temporal Analytics and Interpolation —Spatio-temporal Kriging
Based on the ordinary Kriging, we added the dimension of time to the regionalized variable, then we calculated the spatio-temporal semi-variance and forecasted it on the Spatio-temporal domain

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User manual

Experiment data

Geostatistics was developed with mining in South African of the 1950s. Based on this, France G. Matheron proposed regionalized variable theory and variogram in the late 1950s, which formed the basic framework of geostatistics。Until to late 20th century it divided into the following branches: Linear-Kriging, Ordinary-Kriging, Simple-Kriging, Disjunctive-Kriging, Co-Kriging, Universal-Kriging and Indicating Kriging, etc. However, the above method was only focusing on spatial variability ,and it lacked of time dimension information about regionalized variable, and for the field of the environment, meteorology, epidemiology etc, its natural process are often accompanied by the time dimension information, spatial data extended to spatio-temporal data, traditional geostatistical methods have been unable to meet this demands, which also contributed to the theoretical formation of spatio-temporal statistics
The main function of this software including:
1. This software have both Chinese and English speech interfaces
2. Supports three kinds of time data format(day,month and year)
3. Analysis of basic statistics and normal distribution inspection
4. Spatio-temporal Semi-variance Calculating
5. Spatio-temporal model curvefitting of both separable and non-separable models
6. Spatio-temporal interpolation of single time and many times
7. Construction of spatio-temporal predictions results cubes and dynamic display(coming soon)
Notices:
1.Before you use this software, you should read the User manual carefully first
2.You should setup Matlab Compiler Runtime(R2014a_win32), and there is providing a download link of MCR
3.The format of the time is very important, so you must select the right time format according to the data format
4.Acceptable data types: (*.xls) and (*.xlsx)
5.The result export types is(*.ASCII)
6.The experimental data which is given by this web, the time unit is "day", and the normal distribution inspection is log
Contacts:GIS0901MY@126.com
College of Resources and Environment, Huazhong Agricultural University
Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtse River