本多 嘉明

<p>THE PURPOSE OF THIS PAPER IS TO CLARIFY THE EFFECTS OF LOCATION OF LARGE-SCALE SHOPPING CENTERS ON THE RANGE OF COMMERCIAL SPHERE，AND GROWTH RATE OF COMMERCIAL AND BUSINESS ACTIVITIES AROUND THEM. BY COMPARING FLOOR SPACES OF SHOPPING CENTERS WITH THE RANGE OF THE COMMERCIAL SPHERE IN TIME SERIES, WE REVEALED THE CORRELATION BETWEEN THEM. THROUGH THE ANALYSIS OF DATA ON THE LOCATIONAL CHANGES OF THE COMMERCIAL AND BUSINESS ACTIVITIES, WE FOUND OUT THAT THE RATE OF CHANGES IS DIFFERENT BY BUSINESS CLASSES AND THAT THE EFFECTS OF LOCATION OF SHOPPING CENTERS ARE LIMITED IN SPACE.</p>

World population has doubled in the past 40 years and is now 5 billion. It is estimated to double again in the next 50 years, reaching 10 billion. On the other hand, the annual extension rate of arable land is below 1 %, a rate of growth much lower than that of the population growth. And the yield of cereals had been growing steadily from 1970 to 1985. Since the areas harvested have been constant for this period, the increase in the yield must le attributed to growing productivity. The growth rate of world population is lower than that of world GDP. Consequently, the impact on the global environment by human economic activities is much stronger than the population increase.<BR>This study deals with the role of satellite remote sensing for monitoring the global environment on a global scale, and the analysis of world vegetation, potential arable land area and potential food production. Based on the above results, the total population the earth can feed will be calculated. And we try to consider the relation between global environment and population.

The objectives are to develop a methodology fo gloabal mapping of vegetation with NOAA Global Vegetation Index and geoinformation and to monitor the globala change of bioshere.<BR>The methodology wich has been developed by the authors is based on multi-temporal analysis in which monthly vegetation activity cycles of NVI (Normalized Vegetation Index) were recognized by pattern of vegetation types together with geoinformation such as DEM (digital elevation model) .<BR>As the result of the study, a global vegetation map with eight vegetation types which were defined by multitemporal pattern was produced using three years average of NOAA GVI for 1985 to 1987.