Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model

The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of lan...
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Autor*in:	Xingyuan Xiao [verfasserIn] Xiao Huang [verfasserIn] Linlong Jiang [verfasserIn] Caixing Jin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	lucc dynamic change optimization model jining

Übergeordnetes Werk:	In: Geocarto International - Taylor & Francis Group, 2023, 37(2022), 25, Seite 9847-9864
Übergeordnetes Werk:	volume:37 ; year:2022 ; number:25 ; pages:9847-9864

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/10106049.2022.2025919

Katalog-ID:	DOAJ09949146X

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allfields	10.1080/10106049.2022.2025919 doi (DE-627)DOAJ09949146X (DE-599)DOAJ46c35bd0b83c4a6d891eb9b595eb1380 DE-627 ger DE-627 rakwb eng GB3-5030 Xingyuan Xiao verfasserin aut Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify. lucc dynamic change optimization model jining Physical geography Xiao Huang verfasserin aut Linlong Jiang verfasserin aut Caixing Jin verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 9847-9864 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:9847-9864 https://doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/article/46c35bd0b83c4a6d891eb9b595eb1380 kostenfrei http://dx.doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 9847-9864
spelling	10.1080/10106049.2022.2025919 doi (DE-627)DOAJ09949146X (DE-599)DOAJ46c35bd0b83c4a6d891eb9b595eb1380 DE-627 ger DE-627 rakwb eng GB3-5030 Xingyuan Xiao verfasserin aut Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify. lucc dynamic change optimization model jining Physical geography Xiao Huang verfasserin aut Linlong Jiang verfasserin aut Caixing Jin verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 9847-9864 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:9847-9864 https://doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/article/46c35bd0b83c4a6d891eb9b595eb1380 kostenfrei http://dx.doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 9847-9864
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allfieldsSound	10.1080/10106049.2022.2025919 doi (DE-627)DOAJ09949146X (DE-599)DOAJ46c35bd0b83c4a6d891eb9b595eb1380 DE-627 ger DE-627 rakwb eng GB3-5030 Xingyuan Xiao verfasserin aut Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify. lucc dynamic change optimization model jining Physical geography Xiao Huang verfasserin aut Linlong Jiang verfasserin aut Caixing Jin verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 9847-9864 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:9847-9864 https://doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/article/46c35bd0b83c4a6d891eb9b595eb1380 kostenfrei http://dx.doi.org/10.1080/10106049.2022.2025919 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 9847-9864
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callnumber-first	G - Geography, Anthropology, Recreation
author	Xingyuan Xiao
spellingShingle	Xingyuan Xiao misc GB3-5030 misc lucc misc dynamic change misc optimization model misc jining misc Physical geography Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
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topic_title	GB3-5030 Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model lucc dynamic change optimization model jining
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title	Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
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title_full	Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
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title_sort	empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
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title_auth	Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
abstract	The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify.
abstractGer	The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify.
abstract_unstemmed	The land use dynamic degree model is constantly improved with the in-depth development of land use change research to optimize research results. On the basis of the analysis and summary of existing land use dynamic degree models, this study proposes an optimization model. We take the analysis of land use change in Jining City as an example for empirical research. Results show that the simulation effect of the optimized land use dynamic degree model is more reliable. The optimized single land use dynamic degree model can more truly reflect the intensity of changes in various land use types. The optimized comprehensive land use dynamic degree model can better reflect the intensity of regional land use changes; thus, hot spots of land use changes are easier to identify.
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title_short	Empirical study on comparative analysis of dynamic degree differences of land use based on the optimization model
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