Share Email Print
cover

Proceedings Paper

Modeling the demand forecast of construction land of county-level
Author(s): Hai-yuan Dong; Xiao-yan Wang; Li-li Jiao; Qing-sheng Guo
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

During the land-use planning, the demand forecast of construction land is complex. If the number of forecasting is excessive, the land resources would be wasted. On the contrary, the local economic develop would be restricted for lack of enough construction land. So it is important to determine an appropriate quantity of land for construction. The demand of construction land is affected by many factors, so it is difficult to use a simple mathematical model to simulate it. Therefore, this paper analyzes the important influencing factors on the quantity of land for construction and builds a model to simulate the demand of construction land using a neural network. After comparison, the forecast result by using the neural network is better than by the linear regression .The neural network is useful in the land-use planning.

Paper Details

Date Published: 16 October 2009
PDF: 9 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921N (16 October 2009); doi: 10.1117/12.838445
Show Author Affiliations
Hai-yuan Dong, Wuhan Univ. (China)
Xiao-yan Wang, Wuhan Univ. (China)
Li-li Jiao, Wuhan Univ. (China)
Qing-sheng Guo, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

© SPIE. Terms of Use
Back to Top