[1]WU Gui-ping.Exploring Effect of Different Scaling Methods on Simulation of Land Use Patterns[J].Research of Soil and Water Conservation,2010,17(05):75-79.
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Exploring Effect of Different Scaling Methods on Simulation of Land Use Patterns
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
17
Number of periods:
2010 05
Page number:
75-79
Column:
Public date:
2010-10-20
- Title:
- Exploring Effect of Different Scaling Methods on Simulation of Land Use Patterns
- Keywords:
- scaling; land use; spatial simulation; influencing effect
- CLC:
- F301.24
- DOI:
- -
- Abstract:
- Land uses in Yongding county, which is one of the typical karst mountain area in northwestern Hu’nan province, were investigated by means of modeling the land use types with different scaling methods at multiple scales with the purpose of studying on the scale effect of scaling with regional land use saptial data, and using the model to simulate and analyze the spatial land use patterns in Yongding county. The following results were obtained: (1) The ROC values of different land use types from raster data with the rule of centric cell (RCC) varied widely when spatial scale increases and appeared strong randomicity. The ROC values showed obvious fluctuation at 400 m×400 m and 700 m×700 m scales. (2) The ROC values appeared less fluctuation under the rule of maximum area (RMA) and the optimized integration method (OIM) with the increase of the aggregation levels and the increasing trend of ROC values were obvious. (3) Compared with RCC and OIM, the results indicate that the land use simulation model showed better goodness of fitting and higher accuracy of fitting under the scaling method of OIM. The area under ROC curves (AUC) of cultivated land, forest land and construction land were improved to 0.767, 0.785 and 0.895 respectively when using OIM. (4) The simulation of land use patterns all showed maximum values of ROC at 1 700 m×1 700 m scale in different scaling methods, so it is argued that the 1 700 m×1 700 m is an significant level for simulating the distribution of land use types in the study area. The results will also provide some reference for the land use planning and ploicy-making of sustainable utilization of land resources.
- References:
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1900-01-01