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INTRODUCTION
The theme of this virtual special topic is "Land Use Simulation", and a total of 11 articles on related topics published from 2020 to 2023 are included. Stay tuned and read.
The full text can be downloaded from CNKI or the official website of the journal.
Journal of Geo-information Science
directory
A land use change simulation model that combines an evolutionary algorithm with a FLUS model
Yu Qinping, Wu Zhenhua*, Wang Yabei
A simulation method for the spatial pattern of rapidly developing urban land use coupled with FLUS and Markov
Wang Xudong, Yao Yao*, Ren Shuliang, Shi Xuguo
Multi-scenario simulation of land use on the Loess Plateau based on improved Markov-CA model
Sun Tingzhao, Liang Youjia*
Multi-scenario simulation of land use change in China-Pakistan Economic Corridor based on the coupling of FLUS model and SD model
Zhang Xiaorong, Li Ainong*, Nan Xi, Lei Guangbin, Wang Changbo
Research on land use simulation and urban development boundary delineation in Wuhan metropolitan area based on FLUSH model from the perspective of "double evaluation".
赵 轩，彭建东*，樊智宇，杨 晨，杨 红
Research on county land use simulation and urban development boundary delineation based on FLUS-UGB
Zhang Shiwei, Wei Luyao, Jin Xing*, Lu Yuqi
Multi-scenario simulation of urban-agricultural-ecological spatial delineation
Ke Xinli, Chop Bangyong, Zheng Weiwei, Ma Yanchun, Li Hongyan
Application of the FLUS model with spatial autocorrelation in the multi-scenario simulation of land use change
Zhang Jingdu, Mei Zhixiong*, Lv Jiahui, Chen Jin
Simulation of land use scenarios in the urban agglomeration around Poyang Lake considering land ecological security
Shan Luiridium,Wang Haijun,Zhang Bin,Pan Peng*
Multi-scenario simulation and analysis of land use in urban agglomeration in central Zhejiang considering the impact of rail transit
Wang Jiafeng, Wang Rong, Feng Yongjiu*, Lei Zhenkun, Gao Chen, Chen Shurui, Jin Yanmin, Zhai Shuting
Spatiotemporal model analysis of land change process based on the nearest spatio-temporal distance
Nie Pin, Liang Ming*, Li Yujie, You Xinyan, Sun Xiaojuan
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A land use change simulation model that combines an evolutionary algorithm with a FLUS model
Yu Qinping, Wu Zhenhua*, Wang Yabei
Citation Format:
俞钦平,吴振华,王亚蓓.一种耦合进化算法与FLUS模型的土地利用变化模拟模型[J].地球信息科学学报,2023,25(3):510-528. [ Yu Q P, Wu Z H, Wang Y B. A land use change simulation model: Coupling of evolutionary algorithm and FLUS model[J]. Journal of Geoinformation Science, 2023,25(3):510-528. ] DOI:10.12082/dqxxkx.2023.220637
Abstract:It is of great significance to study how to set the model parameters more scientifically and objectively in the process of land use change simulation, so as to avoid the problem of poor simulation effect of complex models due to improper parameter setting. In this paper, an EA-FLUS model with parameter optimization function is constructed by coupling the Evolutionary Algorithm (EA) and the FLUS model. Firstly, the parameters of the artificial neural network model in the FLUS model are optimized by evolutionary strategy to improve the prediction accuracy of the probability distribution of various land use types, and then the parameters of the cellular automaton model in the FLUS model are adjusted by the combination of genetic algorithm with elite strategy and evolutionary strategy in combination with geographical partitioning, so as to improve the simulation accuracy. In the empirical research stage, this paper takes Guilin City as the experimental area to analyze the improvement effect of the EA-FLUS model by zoning simulation of land use change, and also sets up three scenarios of natural development, cultivated land protection and ecological priority to simulate the land use change in Guilin from 2020 to 2030. The results show that: (1) Compared with the parameter setting based on experience and the historical characteristics of land use change, the optimization results of the evolutionary algorithm are closer to the policy orientation of the experimental area, and can better reflect the diverse development trends of various land use types in different regions;(2) Compared with the FLUS model, the EA-FLUS model has more advantages in the simulation of land use change with geographical zoning, and the overall accuracy, Kappa coefficient and FoM coefficient of the simulation results are increased by 0.56%, 0.011%, and 0.011%, respectively. (3) The construction land and cultivated land in Guilin have a strong expansion trend, but the forest land shows a shrinking trend, and further strengthening the protection of ecological space will help to slow down the expansion rate of construction land and cultivated land. The results of this study not only enrich the existing land use change simulation technology and methods, but also provide a certain theoretical basis and scientific basis for urban planning and sustainability research.
Keywords: land use change, evolutionary algorithm, EA-FLUS model, parameter optimization, geographic zoning, scenario simulation, Guilin City
Technical route
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A simulation method for the spatial pattern of rapidly developing urban land use coupled with FLUS and Markov
Wang Xudong, Yao Yao*, Ren Shuliang, Shi Xuguo
Citation Format:
王旭东,姚尧,任书良,等.耦合FLUS和Markov的快速发展城市土地利用空间格局模拟方法[J].地球信息科学学报,2022,24(1):100-113. [ Wang X D, Yao Y, Ren S L, et al. A coupled FLUS and Markov approach to simulate the spatial pattern of land use in rapidly developing cities[J]. Journal of Geo-information Science, 2022,24(1):100-113. ]
DOI:10.12082/dqxxkx.2022.210359
Abstract:The study of simulating the spatial change pattern of urban land use has a very positive effect on future regional planning and sustainable development. In previous studies based on FLUSH have a large grid scale, how to simulate the complex land use change process of rapidly developing cities and explore the driving mechanism of land use change is worthy of further discussion. Taking Shenzhen as the study area, based on the land use classification data with a spatial resolution of 30 m and multi-source spatial variables such as basic geography, road network and river network, and points of interest, the spatial pattern of future urban land use under different development scenarios is simulated by taking Shenzhen as the study area, and the driving factors of land use change are analyzed through random forests. The results show that the coupled FLUSH and Markov method proposed in this paper has higher accuracy (FoM=0.22) than the traditional CA models (RFA-CA and Logistic-CA), and can more accurately simulate the land use change process of rapidly developing cities. The infrastructure of entertainment venues and the density of public transportation and road network have a greater impact on urban development than natural factors (elevation and slope), and the distance to the coastline will limit the process of land use change in Shenzhen to a certain extent. The model and fine mapping results of this study can provide a reference and theoretical basis for related research on urban regional planning and spatial pattern simulation.
Keywords: multi-source data, rapidly developing cities, land use patterns, Markov models, future land use models, scenario setting, land use spatial pattern simulation, and driving mechanisms of land use change
Schematic diagram of the FLUS model flow
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Multi-scenario simulation of land use on the Loess Plateau based on improved Markov-CA model
Sun Tingzhao, Liang Youjia*
Citation Format:
孙定钊,梁友嘉.基于改进Markov-CA模型的黄土高原土地利用多情景模拟[J].地球信息科学学报,2021,23(5):825-836. [ Sun D Z, Liang Y J. Multi-scenario simulation of land use dynamic in the Loess Plateau using an improved Markov-CA model[J]. Journal of Geoinformation Science, 2021,23(5):825-836. ] DOI:10.12082/dqxxkx.2021.200283
Abstract:The study of spatiotemporal changes of land use/cover can provide scientific support for regional ecological environment restoration and integrated ecosystem management. The integrated logistic regression model and the improved Markov and FLUSH models simulated the land use changes of three typical scenarios on the Loess Plateau from 2020 to 2050. It is found that the land use area change and spatial displacement transfer in each scenario are mainly concentrated in agricultural land, grassland and urban land, and the agricultural land decreases by 15 205 km2 under the historical trend continuation scenario, while grassland and urban land increase by 2 742 km2 and 16 007 km2, respectively, and the grassland increases by 7 076 km2 under the ecological conservation and management scenario, and there is a trade-off relationship between the growth of forest and grassland land (r Major forest land-grassland=- In the urban development and construction scenario, the decrease of agricultural land is 20 256 km2 and the increase of urban land is 22 032 km2, both of which reach extreme values, and there is a strong trade-off relationship between urban expansion and agricultural land reduction in southern China (r agricultural land-urban land=-1). The improved Markov-FLUSH model is suitable for land use simulation in the Loess Plateau, and the scenario analysis can effectively reveal the threshold changes of regional ecological protection and urban expansion, and provide a scientific basis for regional land use policy trade-off management and soil and water conservation.
Keywords: FLUS model, Markov model, land use/cover change, ecological conservation, urban expansion, multi-scenario simulation, trade-off analysis, Loess Plateau
Percentage change of land use on the Loess Plateau from 2000 to 2015
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Multi-scenario simulation of land use change in China-Pakistan Economic Corridor based on the coupling of FLUS model and SD model
Zhang Xiaorong, Li Ainong*, Nan Xi, Lei Guangbin, Wang Changbo
Citation Format:
张晓荣,李爱农,南希,等.基于FLUS模型和SD模型耦合的中巴经济走廊土地利用变化多情景模拟[J].地球信息科学学报,2020,22(12):2393-2409. [ Zhang X R, Li A N, Nan X, et al. Multi-scenario simulation of land use change along China-Pakistan Economic Corridor through coupling FLUS model with SD model[J]. Journal of Geo-information Science, 2020,22(12):2393-2409. ] DOI:10.12082/dqxxkx.2020.190618
Abstract:The planning and construction of the China-Pakistan Economic Corridor (CPEC) is inseparable from the scientific understanding of the spatial pattern and change process of land resources, ecological environment and environment along the corridor. Future land use change simulation studies can provide reliable prediction data for regional land resource management, ecological environment sustainability and potential risk assessment. In this paper, the land use simulation of the China-Pakistan Economic Corridor (CPEC) is carried out by coupling the system dynamics model (SD) and the future land use simulation model (FLUS), and a variety of scenarios are set up in combination with the construction of the China-Pakistan Economic Corridor (CPEC) and the regional ecological and environmental policies, so as to give full play to the advantages of the two models in the simulation of macro land demand and micro land allocation. Firstly, based on the historical data from 2009 to 2015, the SD-FLUS model of regional land use was constructed and verified, and then the land use changes under three different scenarios of regional inertial development, investment priority and harmonious development of the CPEC from 2016 to 2030 were simulated. The results show that: (1) the relative error of the total simulation over the years is less than 9.00%, and the overall accuracy of the simulation in Kashgar and Pakistan in 2015 is more than 90.00%, and the Kappa coefficient is more than 0.90, indicating that the coupling model of SD and FLUSH can effectively simulate the land use change pattern of the China-Pakistan Economic Corridor and is suitable for the scenario simulation of land use change, and (2) by 2030, there are obvious differences in land use between different scenarios. Under the three scenarios, the construction land of Kashgar increased by 235.17 km2 and that of Pakistan by 4942.80 km2, while the construction land of Kashgar increased by 265.23 km2 (only 163.71 km2 under the inertial development scenario) and 5918.91 km2 under the inertial development scenario, while the construction land of Pakistan increased by 5918.91 km2 (only 2861.84 under the inertial development scenario). km2), the increase of cultivated land in Pakistan under the harmonious development scenario (4768.60 km2) is less than half of the inertial development scenario with the largest increase, and the cultivated land in Kashgar increases by 604.44 km2 under the harmonious development scenario, which is less than 3/4 of the investment priority scenario. In general, the harmonious development scenario takes into account socio-economic development and ecological environmental protection, and is the most ideal scenario among the three scenarios. The simulation results of the model can provide some data and methodological support for the sustainability research and ecological environment assessment of the China-Pakistan Economic Corridor.
Keywords: land use change, China-Pakistan Economic Corridor, FLUS model, SD model, model coupling, multiple scenarios, simulation, ecological environment
Comparison of the 2015 total forecast results with the actual area
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Research on land use simulation and urban development boundary delineation in Wuhan metropolitan area based on FLUSH model from the perspective of "double evaluation".
赵 轩，彭建东*，樊智宇，杨 晨，杨 红
Citation Format:
赵轩,彭建东,樊智宇,等“. 双评价”视角下基于FLUS模型的武汉大都市区土地利用模拟和城镇开发边界划定研究[J].地球信息科学学报,2020,22(11):2212-2226. [ Zhao X, Peng J D, Fan Z Y, et al. Land use simulation and urban growth boundaries delineation in Wuhan metropolitan area based on FLUS model and "Dual Environment Evaluation"[J]. Journal of Geo-information Science, 2020,22(11):2212-2226. ]
DOI:10.12082/dqxxkx.2020.200137
Abstract:The demarcation of urban development boundary is of great significance to ensure the rational utilization of resources and promote the orderly development of towns. Most of the existing studies in China are mainly based on the technical discussion of planning practice, but the quantitative assessment of resources and environment is insufficient, and few studies are carried out at the scale of metropolitan areas. Taking the Wuhan metropolitan area as a case study, this paper proposes to construct a "double evaluation" system based on coupling multiple elements, combining the FLUS model to simulate land use and delineate the urban development boundary, and using the landscape pattern index to analyze and verify the results. The results show that: (1) The KAPPA coefficient of land use simulation is 0.95 and the overall accuracy is 0.96, which can better reflect the future land use change, and the results show that the urban construction land is expanding in a sprawling manner, and it is necessary to control urban development by demarcating the boundary;(2) The delineation of urban development boundary according to the simulation results can avoid the concentration of urban construction to occupy areas with high ecological or agricultural value, and improve the urban spatial layout of Wuhan metropolitan area on the basis of optimized form, which has strong applicability;(3) The evaluation of the driving system shows that compared with the single factor library, the "double evaluation" factor library has higher accuracy, and can better optimize the landscape pattern, promote the agglomeration and development of construction land patches and fill the gap in the built-up area, which is more in line with the regional development requirements.(4) The evaluation of the expansion results shows that the delineation results are consistent with the future development model of Wuhan metropolitan area, and the future spatial control should focus on the potential value of the expansion of the Airport Area, Yangluo Area, Optics Valley-Future City Area, and Zhifang Area. This study verifies the effectiveness of the application of the FLUS model in the Wuhan metropolitan area, and provides a certain reference for planning control and construction land layout optimization.
Key words: land use simulation, urban development boundary, double evaluation, FLUSH model, Wuhan metropolitan area, landscape pattern index, spatial control, regional coordinated development
The Wuhan Metropolitan Area Expansion Intensity Index (2015-2035) fits with the long-term plan
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Research on county land use simulation and urban development boundary delineation based on FLUS-UGB
Zhang Shiwei, Wei Luyao, Jin Xing*, Lu Yuqi
Citation Format:
张世伟,魏璐瑶,金星星,等.基于FLUS-UGB的县域土地利用模拟及城镇开发边界划定研究[J].地球信息科学学报,2020,22(9):1848-1859. [ Zhang S W, Wei L Y, Jin X X, et al. The land use simulation and delimitation of urban development boundary in county area based on FLUS-UGB[J]. Journal of Geo-information Science, 2020,22(9):1848-1859. ]
DOI:10.12082/dqxxkx.2020.190452
Abstract:There is a big discrepancy between the formulation of the current urban development boundary and the existing basic farmland and ecological protection red line, and under the new territorial spatial planning system, it is necessary to scientifically delineate the reasonable urban development boundary at the county level to realize the sustainable development and utilization of territorial space. Taking Feng County, Jiangsu Province as a case study, this paper predicts the multi-scenario land use change to 2035 based on the simulation and verification of land use from 2011 to 2017, and finally determines the urban growth boundary based on the background of cultivated land protection and ecological control. The results show that: (1) In 2017, the overall accuracy of land use simulation in Fengxian County reached 94.7%, and the Kappa coefficient was 0.895, indicating high simulation accuracy. (2) Under the baseline scenario, the spatial expansion trend of urban land is "spreading the pie". Under the background of cultivated land protection and ecological control, cities and towns are expanding outward in a "radial" manner. (3) It is predicted that the urban land development boundary area of Fengxian County will be 80.29 km2 in 2035, and the growth rate will reach 69.07% in 17 years from 2017 to 2035. Clearly demarcating the boundaries of urban development can effectively avoid the encroachment of urban land on permanent basic farmland and important ecological land, so as to achieve good spatial coordination between urban expansion, permanent basic farmland and protection of important ecological land.
Keywords: Three-line coordination, FLUS-UGB, urban growth boundary, urban development boundary, land use change, basic farmland, ecological protection red line, Fengxian County
Comparison of urban land expansion forecast and current situation in Feng County in 2017
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Multi-scenario simulation of urban-agricultural-ecological spatial delineation
Ke Xinli*, Chopin Yong, Zheng Weiwei, Ma Yanchun, Li Hongyan
Citation Format:
柯新利,肖邦勇,郑伟伟,等.城镇-农业-生态空间划定的多情景模拟[J].地球信息科学学报,2020,22(3):580-591. [ Ke X L, Xiao B Y, Zheng W W, et al. Urban-agricultural-ecological space zoning based on scenario simulation[J]. Journal of Geo-information Science, 2020,22(3):580-591. ] DOI:10.12082/dqxxkx.2020.190404
Abstract:The delineation of urban-agricultural-ecological space (referred to as the delineation of "three zones") is the core content of territorial spatial planning, which is of great significance for the scientific and rational planning and utilization of limited land resources. The existing studies mainly construct an index system based on the current situation of land use and social and economic development in the region to delineate the "three zones", and rarely incorporate future land use changes into the delineation process of the "three zones", which makes the delimitation results lack foresight in the process of guiding practice. In order to solve this problem, this paper proposes a "three-zone" delineation method based on land use scenario simulation, combined with index system evaluation and decision tree feature mining, and based on the current land use status of Wuhan in 2015, the "three zones" are delineated on the basis of land use change scenario simulation. Through comparison, the rationality of the proposed method is verified. The results show that: (1) there are obvious differences in the scale and spatial distribution of the "three zones" under different scenarios, and it is necessary to include future land use changes in the delineation process of the "three zones"; (2) the differences in the "three zones" under different land use scenarios mainly appear in the boundary areas of the three types of spaces, which are the key areas that should be paid attention to in territorial spatial planning.
KEY WORDS: TERRITORIAL SPATIAL PLANNING, THREE-ZONE DEMARCATION, LANDSCAPE MODEL, LAND USE CHANGE, SCENARIO SIMULATION, C5.0 DECISION TREE, DATA MINING, WUHAN CITY
Urban-agricultural-ecological spatial distribution in Wuhan under four scenarios
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Application of the FLUS model with spatial autocorrelation in the multi-scenario simulation of land use change
Zhang Jingdu, Mei Zhixiong*, Lv Jiahui, Chen Jin
Citation Format:
张经度,梅志雄,吕佳慧,等.纳入空间自相关的FLUS模型在土地利用变化多情景模拟中的应用[J].地球信息科学学报,2020,22(3):531-542. [ Zhang J D, Mei Z X, Lv J H, et al. Simulating multiple land use scenarios based on the FLUS model considering spatial autocorrelation[J]. Journal of Geo-information Science, 2020,22(3):531-542. ]
DOI:10.12082/dqxxkx.2020.190359
Abstract:The FLUS model is a new type of land use change simulation model, which has broad application prospects. Taking the Pearl River Delta region as an example, the improved model is validated based on land use data in 2009 and 2015 and a series of driving factors, and the improved FLUS model is used to simulate the land use change pattern in the study area under three scenarios in 2035. The results showed that: (1) After the introduction of spatial autocorrelation factors, the prediction accuracy of the probability distribution of occurrence of various types was higher, and the ROC values of goodness-of-fit of cultivated land, forest land, construction land, water body and unused land increased from 0.819, 0.928, 0.885, 0.855 and 0.861 to 0.857, 0.934, 0.890, 0.863 and 0.978, respectively; The simulation accuracy of the improved FLUS model has been improved to a certain extent, with the Kappa coefficient increasing from 0.732 to 0.744 and the FOM coefficient increasing from 0.077 to 0.106. However, there are significant differences in the simulated land use patterns under different scenarios: under the baseline scenario, the construction land is significantly expanded and the cultivated land is greatly encroached. Under the cultivated land protection scenario, the cultivated land area is maintained at a reasonable level, the trend of construction land spread and expansion is curbed, and the land use layout tends to be reasonable on the whole. Under the ecological protection scenario, cultivated land, forest land and water bodies are better protected, the layout of construction land is more reasonable, and the sustainability of land use is significantly improved.
Keywords: FLUS model, artificial neural network, system dynamics, spatial autocorrelation, multi-scale, land use change, multi-scenario simulation, Pearl River Delta
Comparison of land use simulation and actual situation in the Pearl River Delta region in 2015
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Simulation of land use scenarios in the urban agglomeration around Poyang Lake considering land ecological security
Shan Luiridium,Wang Haijun,Zhang Bin,Pan Peng*
Citation Format:
单渌铱,王海军,张彬,等.顾及土地生态安全的环鄱阳湖城市群土地利用情景模拟[J].地球信息科学学报,2020,22(3):543-556. [ Shan L Y, Wang H J, Zhang B, et al. Land use simulation of the city clusters around Poyang Lake based on land ecological security assessment[J]. Journal of Geo-information Science, 2020,22(3):543-556. ]
DOI:10.12082/dqxxkx.2020.190306
Abstract:In the context of the country's vigorous promotion of new urbanization and the implementation of spatial planning of urban agglomerations, it is of great significance for the sustainable development of urban agglomerations to evaluate the level of land ecological security of urban agglomerations and predict the future land use pattern of urban agglomerations as a constraint. In this paper, the urban agglomeration around Poyang Lake was taken as the research object, the pattern and change of land ecological security in the urban agglomeration were analyzed, the natural development scenario and ecological protection scenario were set according to the land ecological security evaluation results, and the CA-Markov model was constructed by combining multi-categorical logistic regression and multi-criteria evaluation method (MCE) to predict the land use pattern in 2030 under the two scenarios and conduct comparative analysis. The results show that: (1) In 2005, 2010 and 2015, the average ecological security values of the urban agglomeration around Poyang Lake were 0.574, 0.573 and 0.571, respectively, and the spatial layout showed the characteristics of "low in the middle and high in the east and west". (3) Under the ecological protection scenario, the area of the high ecological security zone is 39.39% more and more evenly distributed, including the area around Poyang Lake, the central part of Jiujiang City, Xinyu City and Ji'an City, and the ecological security of the urban agglomeration is effectively protected. This study can provide a reference for land use planning and ecological protection of the urban agglomeration around Poyang Lake.
Keywords: land use, land ecological security, geographic modeling, multi-classification logistic regression, multi-criteria evaluation method (MCE), cellular automata, Markov model, urban agglomeration around Poyang Lake
Changes in land ecological security in the urban agglomeration around Poyang Lake under two scenarios from 2015 to 2030
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Multi-scenario simulation and analysis of land use in urban agglomeration in central Zhejiang considering the impact of rail transit
Wang Jiafeng, Wang Rong, Feng Yongjiu*, Lei Zhenkun, Gao Chen, Chen Shurui, Jin Yanmin, Zhai Shuting
Citation Format:
王家丰,王蓉,冯永玖,等.顾及轨道交通影响的浙中城市群土地利用多情景模拟与分析[J].地球信息科学学报,2020,22(3):605-615. [ Wang J F, Wang R, Feng Y J, et al. Simulating land use patterns of the Mid-Zhejiang urban agglomeration considering the effects of urban rail transit[J]. Journal of Geo-information Science, 2020,22(3):605-615. ]
DOI:10.12082/dqxxkx.2020.190305
Abstract:Land use change is affected by topography, natural environment, urban planning and economic development, and predicting its future scenarios has important reference significance for policy adjustment. Cellular automata model is a common method for simulating and predicting land use change under different planning policies. Based on the GlobeLand30 dataset, this paper uses the land use change of central Zhejiang urban agglomeration from 2000 to 2010 to calibrate the FLUS model, and simulates the land use pattern in 2010, and the overall accuracy, Kappa coefficient and Graph Optimization (FOM) are 89.74%, 82.69% and 29.86%, respectively. The Markov chain is used to predict the total amount of land of various types in 2030, and the FLUSH is used to predict the future land pattern of the urban agglomeration in central Zhejiang under general conditions (conventional scenario) and under the influence of urban rail transit planning stations (rail transit scenario). The results show that the urban rail transit station has a great impact on the growth of construction land within 5 km, and the area of rail transit in this region increases by 45.25 km2 compared with the conventional scenario, and it mainly occurs in the urban fringe area. The expansion of construction land is mainly achieved by encroaching on high-quality farmland, and the conversion of farmland into construction land within 5 km of the rail transit scenario is 33.34 km2 higher than that of the conventional scenario, and the expansion intensity of construction land is higher than that of the conventional scenario, and the proportion of construction land expansion intensity above the minimum expansion intensity is 3.70% higher than that of the conventional scenario. The landscape index showed that the patterns of woodland, grassland and water area were highly similar in the two scenarios. This study shows that the comprehensive use of FLUS, remote sensing, GIS and other technical methods can accurately simulate and predict the future land use pattern under different planning conditions, and provide high-confidence spatial data for planning and policy adjustment.
Keywords: land use, rail transit station, cellular automata, FLUS, rail transit scenario, conventional scenario, urban expansion intensity, urban agglomeration in central Zhejiang
Rail transit station within 5 km
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Spatiotemporal model analysis of land change process based on the nearest spatio-temporal distance
Nie Pin, Liang Ming*, Li Yujie, You Xinyan, Sun Xiaojuan
Citation Format:
聂拼,梁明,李玉洁,等.基于最邻近时空距离的土地变化过程时空模式分析[J].地球信息科学学报,2020,22(3):628-637. [ Nie P, Liang M, Li Y J, et al. Spatiotemporal model analysis of land change process based on nearest spatiotemporal distance[J]. Journal of Geo-information Science, 2020,22(3):628-637. ] DOI:10.12082/dqxxkx.2020.190569
Abstract:Land use/land cover has undergone great changes due to the impact of human activities and rapid urban expansion, which has a great impact on the ecological environment and surface landscape. The change process of land use/land cover is not only affected by various factors such as nature and economy, but also the external representation of human activities and natural factors. Therefore, it is of great significance to study the process of land use/land cover change. In the traditional method, the monitoring and analysis of land use/cover change focuses on the study of the overall differences of land use structure in each spatio-temporal snapshot, which separates the organic relationship between different snapshots of land use units in the evolution process. Based on the spatiotemporal distance measurement of the nearest neighbor of the land use process, this paper carries out the spatiotemporal aggregation measurement of the land change process based on Monte Carlo random simulation, and quantitatively analyzes the significance of the spatiotemporal aggregation pattern of the land use change process. Using the land use data of Huainan Municipal District from 2008 to 2017, the typical spatiotemporal evolution types (from "cultivated land" to "grassland" in any two years) were selected for empirical research, and the results showed that such land change processes showed a spatiotemporal aggregation pattern in the past 10 years, but it was not statistically significant. This study is helpful to grasp the spatiotemporal evolution process of land use units and explore the potential spatiotemporal evolution patterns in the process of land use change.
Keywords: land change process, spatio-temporal model, spatio-temporal aggregation, nearest neighbor distance, Monte Carlo simulation, spatio-temporal distance, land use/cover change, significance evaluation
The distribution of the evolution from cultivated land to grassland every two years from 2008 to 2017
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Journal of Geo-information Science is a core journal of science and technology in China and a core journal of Chinese in China, and is included in the following databases: CSCD, EI, Geobase, Scopus, JST, CNKI.
The Journal of Geo-information Science is supervised by the Chinese Academy of Sciences, co-sponsored by the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Sciences and the Geographical Society of China, and co-organized by the State Key Laboratory of Resources and Environmental Information System (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences), the Key Laboratory of Virtual Geographic Environment of the Ministry of Education (Nanjing Normal University), and the Key Laboratory of 3D Information Acquisition and Application of the Ministry of Education (Capital Normal University). The journal was founded in 1996 by Academician Peng. The current editor-in-chief of the journal is Academician Xu Guanhua, and the executive editor-in-chief is Researcher Lu Feng.
The Journal of Geo-information Science mainly publishes academic papers with geographic system information flow as the research object, and the research topics of geographic information cognitive theory, geographic spatio-temporal big data mining, geospatial intelligent analysis, earth information map, remote sensing information extraction, virtual geographic environment, and geospatial comprehensive analysis, as well as related comments and newsletters, focusing on the reports on the innovative achievements of geo-information science theory and methods. The journal has columns such as Theory and Methods of Geo-information Science, Comprehensive Application of Geospatial Analysis, Remote Sensing Science and Application Technology, etc., and has organized a number of special issues based on major national projects and national strategic needs. Scholars at home and abroad are welcome to actively submit papers, and major national scientific research projects and academic conferences at home and abroad are welcome to organize special columns.
Official website URL
http://vv.duxx.cn/cn/cn/1560-8999/home.shtmall
Contact number
010-64889219（稿务）
010-64888891 (Editorial Affairs, Finance)
First trial: Zhang Yanling review: Song Qifan
Final Judge: Jin Jun
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