Analysis on spatial-temporal characteristics and driving force of land-use change in Hainan island

Author(s):  
Xu Xinliang ◽  
Liu Jiyuan
2016 ◽  
Vol 24 (6) ◽  
pp. 659-669 ◽  
Author(s):  
Mehebub Sahana ◽  
Raihan Ahmed ◽  
Purva Jain ◽  
Haroon Sajjad

2014 ◽  
Vol 11 (3) ◽  
pp. 3215-3232 ◽  
Author(s):  
Xindong Du ◽  
Xiaobin Jin ◽  
Xilian Yang ◽  
Xuhong Yang ◽  
Yinkang Zhou

2007 ◽  
Vol 52 (S2) ◽  
pp. 10-20 ◽  
Author(s):  
ZhengHai Li ◽  
GuoBao Song ◽  
HaiYan Lü ◽  
YaJing Bao ◽  
JiXi Gao ◽  
...  

2008 ◽  
Vol 18 (4) ◽  
pp. 323-330 ◽  
Author(s):  
Bin Quan ◽  
M. J. M. Römkens ◽  
Jianjun Tao ◽  
Bicheng Li ◽  
Chaokui Li ◽  
...  

2020 ◽  
Vol 109 ◽  
pp. 105777 ◽  
Author(s):  
Rui Sun ◽  
Zhixiang Wu ◽  
Bangqian Chen ◽  
Chuan Yang ◽  
Dongling Qi ◽  
...  

2012 ◽  
Vol 518-523 ◽  
pp. 6004-6007
Author(s):  
Xing Yuan Xiao ◽  
Tao Jiang

Using GIS and such models as dynamic degree, analyzed the land-use change in Qingdao according to the statistics of land-use data from 2000 to 2010 years and based on these, the author selects eight natural and socio-economic indexes, and takes districts as the study unit to calculate the driving force indexes with the fuzzy comprehensive evaluation method, and makes the spatial-division thematic maps of the driving forces which cause the land-use change in this region base on GIS. The results show that in Qingdao the land-use types which have the largest change rate is residential area and mining sites, followed by the unused land, water and cultivated land, and the garden plot is the smallest. There is a decreasing of cultivated land and unused land while other types have increased; because of a large base number, cultivated land reduces most among all land-use types. There exists a big spatial difference among these driving forces for land-use change. According the driving force indexes we divided them into four regions.


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