[1]LIU Rong,GAO Min-hua,XIE Feng.Simulation and Analysis of Land Use Patterns Based on Logistic Regression Model—A Case Study of Turpan[J].Research of Soil and Water Conservation,2009,16(06):74-78.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
16
Number of periods:
2009 06
Page number:
74-78
Column:
Public date:
2009-12-20
- Title:
-
Simulation and Analysis of Land Use Patterns Based on Logistic Regression Model—A Case Study of Turpan
- Author(s):
-
LIU Rong1,2, GAO Min-hua1,2, XIE Feng1,2
-
1. College of Resources and Environment Science, Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang, University, Urumqi 830046, China;
2. College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China
-
- Keywords:
-
land use; logistic regression models; modeling; Turpan
- CLC:
-
F301.24
- DOI:
-
-
- Abstract:
-
Land use/land cover change (LUCC) is an important content of geographical research on global change today, while spatial simulation on regional land use patterns is one of the key contents of LUCC research. Adopting the current situation picture of the land utilization of Turpan in 2005, turning it into grid form and merging pattern of the land use into: cultivated land, field, forest land, the meadow, land used for cities and towns, area of residential area of countryside, independent industrial and mining land, unutilized area, others. Using the method analyzing, it has chosen 12 kinds of drive factors that has made important contribution to land use/coverage change of this area, set up driving force file with the method ArcView space analyses, analyzed the weight (β value) of each kind of driving force with logistic regression function of SPSS 13.0, set up logistic equation. ROC inspection result shows that fit degree of various kinds of land including: cultivated land is 0.934, field is 0.915, forest land is 0.858, meadow is 0.793, urban area is 0.999, area of residential area of countryside is 0.929, independent industrial and mining area is 0.874, unutilized land is 0.816, other area is 0.762, degree is greater than 0.75, degree is rather good. It is argued that these types of the analysis can provide the valuable information for modeling future land use change seenarios that need to consider local and regional conditions of actual land use.On the other hand, the probability maps of the land use types obtained from this study can also support the local government on making land management decisions.