Estimation of the population density spatial distribution using clutter model

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Authors:

A.V. Kozhevnikov, Candidate of Sciences (Tech.), Associate Professor, Senior Lecturer of the Department of Automation and Computer Systems of the State Higher Educational Institution “National Mining University”, Dnipropetrovsk, Ukraine

Ye.A. Krivosheyev, Sales Market Methods Expert, ZAO „Vizikom“, Kyiv, Ukraine

Annotation:

The algorithm of quantitative assessment of the population density spatial distribution on the rank data basis is shown. The algorithm is based on Gauss-Zaydel method with “flexible” restrictions. Source data specifications that satisfy a single-valued result are given. Calculation results in the MATLAB media are shown. It is shown that the result is independent from initial density values, but it is defined by the minimum quantitative difference between density values of clutters with neighbor ranks.

Bibliography:

1. GeoImage – Population maps – GEOpop. GeoImage Corporation official site URL: http://www.geoimage.fr/images/ stories/products/geopop.pdf

2. Gaydyshev I. Data Analysis and Processing. Specialized Manual/ Igor Gaydyshev – S-Pb.: Piter, 2001. – 752 p. – ISBN 5-318-00220-X.

3. Boyarinov A.I., Optimization Methods in Chemical Technology/ A.I. Boyarinov, V.V. Kafarov – M.: “Chemistry”, 1975. – 576 p.

4. Visicom – geoinformation systems, radioplanning, GPS navigators, LBS projects. CJSC "Visicom" official site: URL: http://www.visicom.ua

5. 3D Models for Wireless Network Planning and Optimization. – K.: VISICOM, 2010. – 15 p.

Files:
2011_02_kogev
Date 2012-11-27 Filesize 342.8 KB Download 1184

Tags: Clutterpopulation densityrankoptimizationrestriction

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