著者

井上 孝 森本 健弘

出版者

人文地理学会

雑誌

人文地理 (ISSN:00187216)

巻号頁・発行日

vol.43, no.5, pp.479-492, 1991

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This study examined how population density and agricultural land productivity in a metropolitan area varied spatially by discussing the case of the Kanto district. A mathematical model was presented for describing the relationship of these two values. Population density values were calculated from grid-cell data of the population census of 1980. Values of agricultural land productivity were represented by agricultural income per hectare estimated from grid-cell data of the agricultural census of 1980. Figure 3 shows distribution of these values.We attempted to find the complicated spatial patterns of these values by analyzing the covariation of them in two aspects: the covariation with distance from the city center (Fig. 4) and with azimuth angle in distance belts (Fig. 5).The facts that we found are summarized as follows:The covariation with distance showed a tendency to correlate positively in the inside range of 35km and showed a tendency to correlate negatively in the outside range of 35km, except the non-agricultural city core and the mountainous area beyond 95km.The variation with azimuth angle, both of density and of productivity, consisted of long waves and short waves. The long waves of density and productivity showed similar curves. By contrast, the short waves of them showed inverse curves. This inverse relationship was weaker in the outside range of 35km than the inside.A mathematical model was then presented on the basis of these facts. This model consists of the following two parts:1) The covariation with distanceThe following formulation describes the covariation of population density fP and agricultural land productivity fA with distance. Equation (1) shows the productivity fA (r, p) at a place where distance from the edge of the city center is r and deviation of density is p. Variables fA (r, p), gA (r), and hA (p) in (1) correspond to curves FA, G, and H in Figure 6 respectively. The variable gA (r) is a component declining exponentially with distance r; gA (r)>0 and (d/dr) gA (r)<0 for r>0. The variable hA (r) is a component increasing with decreasing deviation p; (d/dp) hA (p)<0; hA (p)≈0 at p=0. Let fP(r) be the population density at distance r and fP be the mean value of fP(r) with respect to overall r, we get p=fP(r)-fP and (d/dr)fP(r)<0. Thus hA (p) becomes a function of r and (d/dr)hA(p(r)) becomes positive. Let r0 be a constant distance, the relationship between gA (r) and hA (p) is given by inequalities (2) and (3).2) The covariation with azimuth angleThe following formulation describes the covariation of population density up and agricultural land productivity uA, with azimuth angle in a specific distance belt Both uP and uA are standardized values with respect to overall angle in the distance belt. The density uP(θ) at angle θ can be written in equation (4). Variables uP(θ) and vP(θ) in (4) correspond to curves UP and VP in Figure 7 respectively. The variable vP(θ) is a component representing long periodic variation; vP(θ+λ1)=vP(θ) for a constant λ1(>0)