Incorporation of Socio-Economic Data into the Analysis of Remotely-Sensed Images: Basic Quantitative Strategy to Explore Functional Forms of Deforestation

This report reviews and straightens methodologies to explore functional forms of man-landcover interrelations**. Tanaka and Nishii[7, 8, 9, 10, 12, 13], Nishii and Tanaka[4, 6], Nishii, Miyata, and Tanaka[5] have engaged in the analysis of deforestation by human population interactions. The basic strategy has been to use landcover data mashed up with cell-formed population density data. Two factors – human population size (N) and relief energy (R: difference of minimum altitude from the maximum in a sampled area) – were picked up firstly to make elucidation of forest coverage ratio (F) on the same site. The functional forms with sigmoidal shape were suggested by step functions fitted to one-kilometer square high precision grid-cell data in Japan. By calculating relative appropriateness to data, Akaike’s 広島経済大学研究論集 第38巻第 3号 2015年12月