| 000 | 02614 a2200361 4500 | ||
|---|---|---|---|
| 001 | 135196674X | ||
| 005 | 20250317111638.0 | ||
| 008 | 250312042017xx eng | ||
| 020 | _a9781351966740 | ||
| 037 |
_bTaylor & Francis _cGBP 65.99 _fBB |
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| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aRGC _2thema |
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| 072 | 7 |
_aTQ _2thema |
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| 072 | 7 |
_aRB _2thema |
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| 072 | 7 |
_aTVB _2thema |
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| 072 | 7 |
_aRGC _2bic |
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| 072 | 7 |
_aTQ _2bic |
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| 072 | 7 |
_aRB _2bic |
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| 072 | 7 |
_aTVB _2bic |
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| 072 | 7 |
_aSCI026000 _2bisac |
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| 072 | 7 |
_aTEC009020 _2bisac |
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| 072 | 7 |
_aTEC036000 _2bisac |
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| 072 | 7 |
_a333.73 _2bisac |
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| 100 | 1 | _aBiao Liu | |
| 245 | 1 | 0 |
_aSpatio-temporal Analysis and Optimization of Land Use/Cover Change _bShenzhen as a Case Study |
| 250 | _a1 | ||
| 260 |
_bCRC Press _c20170807 |
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| 300 | _a206 p | ||
| 520 | _bThis book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China. This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems. | ||
| 700 | 1 |
_aBo Huang _4A01 |
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| 700 | 1 |
_aWenting Zhang _4A01 |
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| 999 |
_c7340 _d7340 |
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