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Modeling the Environment by Geostatistics

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Restore the World for our children

Kriging is a spatial interpolation theory for the limited points of the data about a field. It is a part of the Geostatistics. It has a well studied (classical) principle and easy to calculate. It is based on the spatial structure of the observations. It can suppress the variance of the estimation by using the external drifts. Kriging can be used in the research of the modelling of the environmental parameters for understanding, prediction and restoration of the Earth's environment.

Junji YAMAKAWA


Photo of Me
(Captured in 2017)

I started my research career as a Mineralogist. But now I am investigating the Modelling of the Environment using the Geostatistics. The human being have been hurting the Earth environment in a few by their economical activities. But there is a phrase by a Poet:

The world is not given by his fathers, but borrowed by his children. (Wendel Berry)
I totally agree with it. I seek Science and Technology that will be needed for restore the World for our children.

At the University, I am developping the high level Scientists for the next generation who enables solving the Earth environmental issues.

If you can't understand it, I'm wrong. (Richard Feynman)

My hobby is collecting the Rubber Duckie. If you meet them in the town, please notify it to me.

Born in 1966. Doctor (Science). With my son and wife.

MY SKILL

Geostatistics

90%

R and GIS

85%

Crystal structure analysis

85%

Pure Data

60%
9+
h-index (ResarcherID)
45+
Article (J-Global)
30+
Japanese articles (OUSAR)
25+
Presentation (J-Global)
PORTFOLIO

MY WORKS

Here are some of my latest work.
Click on the images to make them bigger


Colored DEM arround my University
The gstat/cmd on Win10
A united data set of a DEM and the LANDSAT image.
PM2.5 and Road
SPM10 by Universal Kriging at Yokohama city

CONTACT

WHERE I WORK

I'd love your feedback!

Department of Earth Sciences, Faculty of Science, Okayama University.
Phone: +81-86-251-8600 (Dial in)
Email: ufeq0285@okayama-u.ac.jp