Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective

Great strides have been made in Geographic Information Systems (GIS) research over the past half-century. However, this progress has created both opportunities and challenges. From a geographic perspective, certain challenges remain, including the modelling of geographic-featured environments with GIS data model, the enhancement of GIS’s analysis functions for comprehensive geographic analysis and achieving human-oriented geographic information presentation. Several basic theoretical and technical ideas that follow the workflow and processes of geographic information induction, geographic scenario modelling, geographic process analysis and geographic environment representation are proposed to fill the gaps between GIS and geography. We also call for designing methods for big geographic data-oriented analysis, making best use of videos and developing virtual geographic scenario-based GIS for further evolution.     

Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu,China

The reconstruction of arable land patterns over historical periods is one of critical research issues in the study of land use and land cover change (LUCC). Taking into account the continuous distribution of arable land and spatial constraints, this paper proposes a constrained cellular automata model to reconstruct historical arable land patterns. The paper describes model establishment, parameter calibration, and results validation in detail. The model was applied to Jiangsu Province, China, and was compared with a conventional spatial allocation method. The results showed that the methodology developed in this study can more objectively reflect the evolution of the pattern of arable land over historical periods, in terms of similarity with contemporary pattern, than the spatial allocation methods and can provide an effective basis for the historical study of arable land.     

The application of spatial data processing to land use conflict resolution in the lal lal water catchment of the Ballarat growth corridor: a case study from chapter one of the Buninyong planning scheme

Land use conflict within the Lal Lal Water Catchment is between landowners, the Shire, the Water Board and those directing regional pressures for development. It is exacerbated by inconsistency in building permit appraisal outcomes. The deliberations involved would clearly have benefited from access to spatial data sets through use of a Geographical Information System (GIS) during applications appraisal, in that inconsistencies are most obvious when mapped in relation to the criteria applied. GIS methodologies would ensure that information of a high standard was produced. Three strategic points are identified for the implementation of GIS: at the planning scheme formulation stage; the permit application stage; and the formal conflict resolution stage. Reference to GIS at the first two stages presupposes the existence of a local government area (LGA) spatial data base and a GIS/LIS that can output overlay maps. Application of GIS at the third stage is somewhat ‘after the event’. This study suggests that without such a regional review of the spatial patterns of permit appraisal criteria (including overland flow modelling) each appeal or negotiation is likely to yield an outcome that is inconsistent in relation to other cases. An LGA planning office maintaining a GIS with all layers relating to these criteria will have assembled its spatial data according to the requirements of its planning scheme and will make most use of it in a GIS at the permit appraisal stage.     

土地市场化改革对城市工业用地规模变化的影响——基于国内46个大中城市的实证研究

探讨土地市场化改革对工业用地规模变化的影响,对于推进中国的土地市场发展和优化工业用地配置有着重要的理论和现实意义。本文在探讨土地市场化改革对工业用地规模变化影响机理的基础上,通过构建计量经济模型,利用2000-2012年中国内地46个大中城市的面板数据,分析了土地市场化改革对工业用地规模变化的具体影响。结果显示,随着工业用地出让市场化程度的提高,公开、透明的市场机制对工业用地规模起到了遏制作用,政府在财政收入刺激下加大土地投放对工业用地规模的扩大也有一定作用,工业用地规模变化主要受市场机制和政府管理的双向驱动。进一步的,在第三产业占主导地位的城市,地价对工业用地规模扩张的约束比较明显;而在第二产业占主导地位、土地价格相对较低的城市,政府在财政收入考量下的土地投放对工业用地规模扩张起到了主要作用。最后从完善土地市场机制的角度提出了有助于工业用地优化配置的相关政策建议。     

A comparative approach to modelling multiple urban land use changes using tree-based methods and cellular automata: the case of Greater Tokyo Area

Urban multiple land use change (LUC) modelling enables the realistic simulation of LUC processes in complex urban systems; however, such modelling suffers from technical challenges posed by complicated transition rules and high spatial heterogeneity when predicting the LUC of a highly developed area. Tree-based methods are powerful tools for addressing this task, but their predictive capabilities need further examination. This study integrates tree-based methods and cellular automata to simulate multiple LUC processes in the Greater Tokyo Area. We examine the predictive capability of 4 tree-based models – bagged trees, random forests, extremely randomised trees (ERT) and bagged gradient boosting decision trees (bagged GBDT) – on transition probability prediction for 18 land use transitions derived from 8 land use types. We compare the predictive power of a tree-based model with multi-layer perceptron (MLP) and among themselves. The results show that tree-based models generally perform better than MLP, and ERT significantly outperforms the three other tree-based models. The outstanding predictive performance of ERT demonstrates the advantages of introducing bagging ensemble and a high degree of randomisation into transition probability modelling. In addition, through variable importance evaluation, we found the strongest explanatory powers of neighbourhood characteristics for all land use transitions; however, the size of the impacts depends on the neighbourhood land use type and the neighbourhood size. Furthermore, socio-economic and policy factors play important roles in transitions ending with high-rise buildings and transitions related to industrial areas.     

The study of artificial intelligence for predicting land use changes in an arid ecosystem

Journal of Geographical Sciences - During the 21st century, artificial intelligence methods have been broadly applied in geosciences to simulate complex dynamic ecosystems, but the use of...     

Evaluating the impact of an agricultural land‐use change adaptation strategy on household crop production in semi‐arid Ghana

In this study, the Land Use Dynamic Simulator model was applied to investigate the impact of farm credit as an adaptation strategy to cope with effects of climate variability on agricultural land‐use change and crop production in the Vea watershed in Ghana. The authors identified the determinants of crop choices within the landscape (e.g., farm household and biophysical characteristics of farm plot). The crop choice sub‐model was then linked to the crop yield sub‐model to determine the yields of selected crops. In adapting to the impacts of climate variability, the maize credit adoption sub‐model under the maize cultivation credit scenario was integrated into decision‐making. This was simulated for a 20‐year period, and compared with the business‐as‐usual scenario. Under the simulated maize credit scenario, maize adopters increased from about 20 per cent to about 50 per cent and the area allocated for maize cultivation significantly increased by about 266 per cent. Consequently, the average annual aggregated household crop yield increased by 6.3 per cent higher than in the business‐as‐usual scenario. This simulation study shows that access to maize credit can significantly influence agricultural land‐use change and food availability in the study area. However, although access to farm credit may translate into food availability, the sustainability of this strategy is questionable.     

The impact of Hurricane Katrina on urban growth in Louisiana: an analysis using data mining and simulation approaches

ABSTRACT

Understanding human dynamics after a major disaster is important to the region’s sustainable development. This study utilized land cover data to examine how Hurricane Katrina has affected the urban growth pattern in the Mississippi Delta in Louisiana. The study analyzed land cover changes from non-urban to urban in three metropolitan areas, Baton Rouge, New Orleans-Metairie, and Hammond, for two time periods, pre-Katrina (2001–2006) and post-Katrina (2006–2010). The study first applied a focal filter to extract continuous urban areas from the scattered urban pixels in the original remote sensing images. Statistical analyses were applied to develop initial functions between urban growth probability and several driving factors. A genetic algorithm was then used to calibrate the transition function, and cellular automata simulation based on the transition function was conducted to evaluate future urban growth patterns with and without the impact of Hurricane Katrina. The results show that elevation has become a much more important factor after Hurricane Katrina, and urban growth has shifted to higher elevation regions. The elevation most probable for new urban growth increased from 10.84 to 11.90 meters. Moreover, simulated future urban growth in this region indicates a decentralized trend, with more growth occurring in more distant regions with higher elevation. In the New Orleans metropolitan area, urban growth will continue to spill across Lake Pontchartrain to the satellite towns that are more than 50 minutes away by driving from the city center.     

Soil quality and sustainable land use in urban-rural marginal area: a case study of Kaifeng

Soil quality is closely related to the sustainability of environment and development[1], hence people have paid more and more attention to soil quality research in recent years, and have made a thorough inquiry of the definition of soil quality as well as the method and theory of its expression[2-4]. As a zone devoting to most intensive modern agricultural land use, urban-rural marginal area has become a region where intensity of soil quality change is most remarkable. Moreover, with the devel…     

Soil quality and sustainable land use in urbanrural marginal area: a case study of Kaifeng

By using the basic theories of physical geography, land resources and ecology, this article analyzes the soil quality of the rural-urban marginal area in Kaifeng. Computer techniques, based on soil samples analysis, are used to study soil quality changes in the Kaifeng’s rural-urban marginal area. While focusing on nutrient circle key links of input and output in soil, relying on numerous practical survey data, this article reveals clearly the impact of land use change on soil quality.     

干旱区绿洲城市土地利用效益研究——以乌鲁木齐为例

对绿洲城市土地利用效益进行评价和研究有助于衡量绿洲城市土地利用水平,实现绿洲城市土地的高效协调利用.选取典型干旱区绿洲城市乌鲁木齐,利用多时相TM影像数据,对乌鲁木齐1990-2005年土地利用的基本特征进行分析,在此基础上采用综合指标评价法、灰色关联度和相关数学方法从土地利用的经济、社会和生态效益三方面对1990-2...     

Hydrological implications of land use and land cover change: Spatial analytical approach at regional scale in the closed basin of the Cuitzeo Lake,Michoacan, Mexico

A spatially distributed water balance model was used to assess the influence of regional land use and land cover change in a poorly gauged basin for the years 1975 and 2000. To carry out this study in the Cuitzeo Lake basin in Michoacan, Mexico, remote sensing and geographic information system tools were integrated in the water balance model. In addition, a transition matrix analysis was used to determine the dynamic change of categories of related hydrologic processes. The analysis of the water balance components, based on landforms and transition matrix, indicated a tendency of improvement in the regional hydrologic conditions in the basin. As a consequence of urban land use growth, however, plains and footslopes of the basin showed an increase of runoff values. In addition, in both years, the topographic lower sections of the basin exhibited a high demand for water from the increased urban land use, along with degradation of Cuitzeo Lake, particularly by pollution and reduction of water supply. The approach used here is suitable for understanding the change in quantity and spatial distribution of water available in poorly gauged basins.     

3S一体化技术支持下的西南地区冬小麦估产——以安宁河谷四县为例

农作物遥感估产已经是广泛应用的技术 ,但由于西南地区复杂的地貌类型以及遥感信息源等因素的限制 ,农作物估产方面的研究起步较晚 ,因而研究山区的农作物遥感估产对西南地区有重要的理论价值和现实意义。安宁河谷为一南北走向的山间盆地 ,是四川省第二大粮食生产基地。本文运用遥感 (RemoteSensing)、地理信息系统 (GIS)和全球定位系统(GPS)———简称 3S ,采取全数字式判读方式提取冬小麦的播种面积 ,进行野外点、线采样 ,并利用数理统计方法 ,建立了该地区的冬小麦估产模型     

山区耕地细碎化对土地利用集约度影响——以贵州省亚鱼村为例

为探索耕地细碎化与土地利用集约度之间的关系,论文以贵州省亚鱼村为例,利用无人机高分辨率影像和农户调查数据,在对比不同通勤距离情景耕地细碎化测度模型准确性的基础上,计算农户耕地细碎化指数,并定量分析不同农户耕地细碎化水平对土地利用集约度的影响。结果表明：对比分析6种通勤距离情景耕地细碎化测度结果,发现农户耕作地块到其宅基地的道路网络距离情景下测度耕地细碎化水平准确度更高;这一情景下亚鱼村平均农户耕地细碎化指数是187.98,该村农户耕作通勤时间成本高;随着农户耕地细碎化程度加剧,农业经营中劳动力投入、资本投入和作物产值呈不同程度的下降趋势,其中资本投入中,耕地细碎化对省工性投入的影响最为显著;山区农业人口乡城迁移背景下农村细碎的耕地资源促使农户加快退出农业生产,导致耕地低效利用,甚至撂荒。     

惠农政策下丘陵山区农地边际化的理论分析与实证——以湖北省通城县为例

农地集约度下降、季节性闲置和常年撂荒是农地边际化现象之一.即使在当前惠农政策背景下,我国中部丘陵山区依然大量存在这种农地边际化现象.经过理论分析与实证,其原因如下:1.在工业化城镇化进程中,由于农业劳动存在较高的机会成本,导致丘陵山区农民非农化现象突出,农地集约利用程度下降;2.丘陵山区农业生态条件较差,农地边际收益较低;3.国家惠农政策的激励作用在丘陵山区存在相对失灵;生态政策与农业政策的不协调,对农业生产存在负外部性,从而加剧了当地的农地边际化.解决丘陵山区农地边际化问题的途径在于农业技术和组织制度的创新,改善农业生产环境,发展合作经济组织和特色农业,提高农地的边际效益;国家农业政策要因地制宜,并与生态政策协调一致.     

土地整治供给侧结构性改革与乡村重构——潜江“华山模式”实证研究

在厘清供给侧结构性改革提出的背景、内涵基础上,运用实地观察法和深度访谈法,探讨如何通过开展土地整治助推乡村重构等问题,并以湖北省潜江的“华山模式”作为实证。结果表明：①需要构建“背景—手段—路径—目标”的土地整治供给侧结构性改革体系;②土地整治供给侧结构性改革从调结构、去库存、补短板、降成本、促融合五个方面着手,核心在于实现“劳动力、土地、资本、制度、产业、技术”六大要素的合理配置;③“华山模式”实现了土地流转—虾稻共作—镇企共建—市场引导—多方共赢的目标,是土地整治供给侧结构性改革助推乡村重构的成功样板。建议在实施土地整治时,应贯彻绿色理念、注意全域规划、依托科技支撑、因地制宜发展当地产业、加强制度供给等,确保土地整治助推乡村重构的有效性和持续性。     

Groundwater quality and land use change in a typical karst agricultural region: a case study of Xiaojiang watershed, Yunnan

Taking the typical karst agricultural region, Xiaojiang watershed in Luxi of Yunnan Province as a research unit, utilizing the groundwater quality data in 1982 and 2004, the aerial photos in 1982 and TM images in 2004, supported by the GIS, we probe into the law and the reason of its space-time change of the groundwater quality over the past 22 years in the paper. The results show: (1) There were obvious temporal and spatial changes of groundwater quality during the past 22 years. (2) Concentrations of,SO42-,NO3-,NO2-,Cl-,and the pH value, total hardness, total alkalinity increased significantly, in which NH4+,NO3-, and NO2- of groundwater exceeded the drinking water standards as a result of non-point pollution caused by the expansion of cultivated land and mass use of the fertilizer and pesticide. (3) Oppositely, Ca2+ and HCO3- showed an obvious decline trend due to forest reduction and degradation and stony desertification. Meantime, there was a dynamic relation between the groundwater quality change and the land use change.     

人工绿洲生态系统中土壤和植被对土地利用变化的响应——以北屯绿洲为例

在遥感(RS)和地理信息系统(GIS)技术的支持下,对干旱区典型人工绿洲-北屯绿洲1989和2005年两期遥感影像进行了处理,分析了绿洲16年来的土地利用/覆盖变化.通过野外调查、实验室分析及"时-空替代法"等方法,对人工绿洲生态系统中的土壤和植被对LUCC的响应机制进行了分析.结果表明:(1)北屯绿洲耕地和盐碱沼泽地面积不断增加,垦荒和撂荒成为土地利用变化的两个主要过程.(2)绿洲土地利用变化对土壤养分和pH值的影响显著.(3)耕地的土壤盐分含量低于弃耕地和荒地.(4)随着土地利用类型的变化,群落组成发生较大变化,优势种更替明显.     

典型岩溶农业区地下水质与土地利用变化: 以云南小江流域为例

1 Introduction Ecological environment such as water, soil, etc. are very fragile in the karst area because of the special geological background. With the fast increase of the population and rapid social and economic development in karst area, contradictio…     

大都市郊区农户生计多样化及对土地利用的影响——以北京市大兴区为例

以北京市大兴区为例,采用农户调查数据,设计不同资源群体农户分类评价指标体系,利用非系统聚类方法将农户划分为5类(①中等资源禀赋,中等非农收入;②高等资源禀赋,中等非农收入;③中等资源禀赋,低等非农收入;④纯农户;⑤非农户),进而分析了不同资源群体农户的生计多样化特点及对土地利用的影响。研究表明:(1)在大都市郊区,农户类型1～3、纯农户和非农户分别采取了农业和非农兼顾、留在农业和脱离农业的生计策略。(2)农户类型1～3和纯农户中,70%农户生计多样化指数分布在2～3之间,且依然呈现粮食作物播种面积较大,选择比例最高,其次是经济作物。(3)农户类型1～3和非农户中,以就地转移方式非农就业是农户家庭劳动力安排的主要选择,且非农就业劳动力年龄最轻和教育水平最高。(4)大都市郊区土地非农化的转型特点促使农户从类型1～4被动地向类型5转化,土地利用效益低下也持续推动了农户生计多样化,同时,农户生计多样化会引发粮食生产能力停滞不前、土地流转和产权调整大规模顺势而生、土壤养分富集等土地利用现象。