Agricultural land partitioning model based on irrigation efficiency using a multi‐objective artificial bee colony algorithm

In the process of agricultural land consolidation, the land parcels are optimally redesigned and rearranged in such a way that the dimensions of the resulting parcels are proportional to agricultural criteria such as irrigation discharge, soil texture, and cropping pattern. Besides these criteria, spatial factors like slope, road accessibility, volume of earthwork, and geometrical factors such as size and shape of parcels are also included in the design process of agricultural land partitioning. In this study, a land partitioning model was proposed using a multi‐objective artificial bee colony algorithm (MOABC‐LP) taking into consideration the mentioned factors. Initially, a feasible dimension range of parcels in a block was calculated based on irrigation efficiency. Two partitioning layouts were defined according to the topography and geometry of blocks. The proposed method was applied to a real study area and the results suggest that the land partitioning plan obtained by the MOABC‐LP model, in comparison with a designer's plan, not only makes the shape and size of parcels more compatible with the topographical and agricultural conditions of each block, but also reduces their cut‐and‐fill ratio.     

基于CLUE-S模型的南京市土地利用变化模拟

本文以南京市为研究区,以南京市1986年的土地利用现状图为基础,分析研究区概况并根据数据的可获取性,选取13类土地利用变化驱动因素,利用逻辑斯蒂回归分析求解土地利用变化驱动因素作用系数矩阵。在此基础上运行CLUE-S模型,对南京市1996年的土地利用空间格局进行模拟。将模拟结果与南京市1996年土地利用现状图与进行对比,结果较为理想,模拟正确率达88.57%,KAPPA指数0.86。这说明CLUE-S模型具有成功模拟区域土地利用时空动态变化的能力,对土地利用预测、规划具有重要的指导作用。     

Comparison of Different Strategies for Determining Raster‐Based Least‐Cost Paths with a Minimum Amount of Distortion

The conventional raster‐based least‐cost path technique, in which the connectivity graph is constructed by treating each raster cell as a node and linking each node to its adjacent neighbors, has been widely used to determine optimum paths in space. Unfortunately, paths calculated with this method are subject to distortions that stem from the imposed node‐link structure. Due to the distortions, the calculated paths may be longer than the true optimum paths in continuous space, and because of this, they may also look highly unrealistic when displayed on a map. This study examines how the quality of the raster‐based paths can be improved by using larger connectivity patterns on the one hand, and placing nodes on the sides of the cells of a raster instead of at their centers, on the other. In addition, the utility of the quadtree structure is examined. The different methods are evaluated against three different datasets using the cost distance of the calculated paths and processing times as evaluation criteria. The results indicate that raster‐based paths can be improved by using the evaluated techniques, although the degree of improvement is also dependent on the properties of the underlying cost raster.     

Land use change detection based on multi‐date imagery from different satellite sensor systems

An empirical study was performed assessing the accuracy of land use change detection when using satellite image data acquired ten years apart by sensors with differing spatial resolutions. Landsat/Multi‐spectral Scanner (MSS) with Landsat/Thematic Mapper (TM) or SPOT/High Resolution Visible (HRV) multi‐spectral (XS) data were used as a multi‐data pair for detecting land use change. The primary objectives of the study were to: (1) compare standard change detection methods (e.g. multi‐date ratioing and principal components analysis) applied to image data of varying spatial resolution; (2) assess whether to transform the raster grid of the higher resolution image data to that of the lower resolution raster grid or vice‐versa in the registration process: and (3) determine if Landsat/TM or SPOT/ HRV(XS) data provides more accurate detection of land use changes when registered to historical Landsat/MSS data.

Ratioing multi‐sensor, multi‐date satellite image data produced higher change detection accuracies than did principal components analysis and is useful as a land use change enhancement technique. Ratioing red and near infrared bands of a Landsat/MSS‐SPOT/HRV(XS) multi‐date pair produced substantially higher change detection accuracies (～10%) than ratioing similar bands of a Landsat/MSS ‐ Landsat/TM multi‐data pair. Using a higher‐resolution raster grid of 20 meters when registering Landsat/MSS and SPOTZHRV(XS) images produced a slightly higher change detection accuracy than when both images were registered to an 80 meter raster grid. Applying a “majority”; moving window filter whose size approximated a minimum mapping unit of 1 hectare increased change detection accuracies by 1–3% and reduced commission errors by 10–25%.     

Evaluation and development of sustainable urban land use plans through spatial optimization

Along with rapid global urbanization, cities are challenged by environmental risks and resource scarcity. Sustainable urban planning is central to address the dilemma of economic growth and ecosystem protection, where the use of land is critical. Sustainable land use patterns are spatially explicit in nature, and can be structured and addressed using spatial optimization integrating GIS and mathematical models. This research discusses prominent sustainability concerns in land use planning and suggests a generalized multi‐objective spatial optimization model to facilitate conventional planning. The model is structured to meet land use demand while satisfying the requirements of the physical environment, society and economy. Unlike existing work relying on raster data, due to its simple data structure and ease of spatial relationship evaluation, this research develops an approach for identifying land use solutions based on vector data that better reflects the actual shape and spatial layout of land parcels as well as the ways land use information is managed in practice. An evolutionary algorithm is developed to find the set of efficient (Pareto) solutions given the complexity of vector‐based representations of space. The proposed approach is applied in an empirical study of Dafeng, China in order to support local urban growth and development. The results demonstrate that spatial optimization can be a powerful tool for deriving effective and efficient land use planning strategies. A comparison to results using a raster data approach supports the superiority of land use optimization using vector data as part of planning practice.     

Polygon-to-Polygon Spatial Accessibility Using Different Aggregation Approaches: A Case Study of National Forests in the US Mountain West Region

Spatial accessibility is an enduring topic of spatial analysis that is intimately tied to issues of spatial representation and scale. A variety of methods to measure accessibility have been developed with most research focusing on metropolitan‐sized spatial extents using census‐defined aggregation units and relying on vector point representation to calculate Euclidean or network distances as key ingredients in measure formulations. Less research considers broader scales where both origin and destination points are treated as polygons. This research develops alternative gravity‐based measures of polygon‐to‐polygon accessibility for a case study of county‐level accessibility to national forests in the western US. Different methods of county and forest representation are implemented using census block centroids and a lattice approach for disaggregation and re‐aggregation. Other characteristics that are analyzed include origin‐destination linkage definitions, population weighting, and distance thresholds. Correlation analysis is used to assess relationships of alternative measures with a simple percentage measure and with each other. Low correlations would suggest that measures capture different aspects of accessibility that are related to their qualitative characteristics. Results show the alternative measures to be dissimilar from the percentage measure; however, high correlations among alternative measures suggest that there is little to differentiate certain disaggregated measures in spite of their richer qualitative interpretation.     

基于栅格数据的最佳路径分析方法研究

讨论了基于栅格数据的最佳路径分析方法。该方法利用Dijistra算法的基本思路和“节点／联系”模型,首先通过8邻域像元算出每个像元到源像元的最小权距离,然后计算后向连接值,最后根据累积权距离栅格和后向连接栅格计算出最佳路径。本结合实例讲述了应用Arc/Info的GRID模块进行最佳路径分析的方法和步骤,并提出了改进算法的研究思路。     

省级国土资源“一张图”数据库建设关键技术研究

加快以国土资源遥感监测"一张图"为基础的核心数据库建设,是国土资源信息化"十二五"期间的重点工作。结合江苏省级国土资源"一张图"工程建设情况,简要介绍省级"一张图"数据库建设内容和成果。本文重点对省级海量空间数据的存储组织和地图服务等关键技术进行研究。     

Accessibility Futures

This study uses accessibility as a performance measure to evaluate a matrix of future land use and network scenarios for planning purposes. The concept of accessibility dates to the 1950s, but this type of application to transportation planning is new. Previous research has established the coevolution of transportation and land use, demonstrated the dependence of accessibility on both, and made the case for the use of accessibility measures as a planning tool. This study builds off of these findings by demonstrating the use of accessibility‐based performance measures in the Twin Cities Metropolitan Area. This choice of performance measure also allows for transit and highway networks to be compared side‐by‐side. For roadway modeling, zone‐to‐zone travel time matrix was computed using stochastic user equilibrium (SUE) assignment with travel time feedback to trip distribution. A database of schedules was used on the transit networks to assign transit routes. This travel time data was joined with the land use data from each scenario to obtain the employment, population, and labor accessibility from each traffic analysis zone (TAZ) within specified time ranges. Tables of person‐weighted accessibility were computed for 20 minutes with zone population as the weight for employment accessibility and zone employment as the weight for population and labor accessibility. Maps of accessibility by zone were produced to show the spatial distribution of accessibility across the region. The results show that a scenario where population and employment growth are concentrated in the center of the metropolitan area would produce the highest accessibility no matter which transportation network changes are made. However, another scenario which concentrates population growth in the center of the metropolitan area and shifts employment growth to the periphery consistently outperforms the scenario representing the projected 2030 land use without any growth management strategy.     

基于海量 POI 数据的城市小学教育资源信息的提取与分析

通过网络爬虫获取海量POI数据具有巨大的应用前景。文中利用改进后的两步移动搜索法,计算居民区的教育资源可达性,评价以市为单位的小学教育资源的状况,将各市的GDP与教育资源可达性进行相关性分析,评价各省经济发展与城市教育发展的相关程度,为政府部门提供决策依据。同时,研究POI数据的预处理方法和分类方法。     

A genetic algorithm for locating optimal sites on raster suitability maps

Locating optimal sites on raster suitability maps is a complex problem when the size of the sites is larger than the cell size. There are a number of techniques for generating suitability maps, but these maps are not solutions to the site location problem. Feasible solutions are clusters of contiguous cells which meet spatial criteria concerning the size and shape of the clusters. Locaring optimal sites involves a trade-off between the intrinsic suitability of individual cells and the spatial configuration of cells. This paper describes a genetic algorithm which searches for optimal clusters and thereby locates optimal sites. The genetic algorithm uses a parameterized regiongrowing program to translate numeric strings into regions on a raster and employs raster GIS functions to evaluate utility scores. In a range of simulated problems, comparisons with an exhaustive search show that the genetic algorithm is efficient and robust. The results indicate that the genetic algorithm can find good solutions to real problems when exhaustive search methods are impractical.     

基于栅格数据空间分析的城镇土地定级研究

以四川省达州市城区土地定级为例,论述了栅格数据空间分析方法在城镇土地定级中的运用,如定级单元的划分、定级过程中各种距离的求取、定级单元各要素作用分及总作用分的计算以及各定级要素作用分等值线的绘制。结果表明,基于栅格数据的空间分析方法在城镇土地定级中有十分重要的作用,有广泛的应用前景。     

A comparative analysis of gridding systems for point-based land cover/use analysis

For spatial analyses, raster land cover/use maps are converted into points, where each point holds attribute of its corresponding land cover/use. However, these are not identical in terms of areas or shapes; thus assigning a point to each isolated shape is not an adequate solution and for that gridding is suggested. Square, hexagon and triangle are among the basic land use gridding systems where each of them has its own advantages in such process. This research aims to compare the systems in providing accurate representations of the original land cover/use maps, assess the data loss while increasing resolution and suggest suitable gridding system. The research finds the errors in area and feature numbers as criteria for selected classes. Modules that find out errors in each scale considering each criterion and class alone are proposed. The modules suggest both the best system for each criterion alone and for combined criteria.     

推进国土资源信息化建设若干问题的探讨

加快推进国土资源信息化建设,是构建国土资源保障科学发展新机制的基础性工程之一。本文针对我国西部经济欠发达地区国土资源信息化建设现状和存在问题,对如何加快推进国土资源信息化建设若干问题进行了探讨,提出了一些建议,以期加快推进国土资源信息化的建设与发展,保障国土资源事业又好又快发展。     

国土资源空间数据2000国家大地坐标系转换技术方案探讨——以西藏自治区为例

长期以来,我国国土资源空间数据一直存在坐标系统不统一的状况,不同部门的空间数据成果无法共享,造成重复建设、资源浪费。为推进国土资源数据应用与共享,提高国土资源数据服务水平,需要在国土资源系统全面开展2000国家大地坐标系的转换和使用工作。本文以西藏自治区为例,详细地探讨了国土资源空间数据从1980西安坐标系向2000国家大地坐标系转换的技术方案,通过实验验证了方案的可行性。     

农村中小学布局调整之空间可达性分析——以河南省巩义市初级中学为例

中小学布局调整是教育主管部门面临的一项重要任务,涉及教育资源的公平分配和合理利用,影响到义务教育法的落实和实施.在探讨中小学布局调整原理与方法的基础上,使用地理信息系统(GIS)技术建立人口分布、学校分布和交通条件等数据库,计算空间可达性指标,定量分析每一个居住区位学生上学的便捷程度,评估教育资源的空间分布差异,为学校布局规划提供重要的参考依据.使用比例模型、最近距离模型、机会积累模型、重力模型和改进重力模型,以巩义市初级中学为例,揭示学校分布与人口分布之间的关系,期望为农村中小学布局调整提供评估方法和规划依据.案例研究发现:农村义务教育在资源配置、最近入学距离、择校机会、供需平衡方面仍有一定的不均衡性.建议使用GIS和空间可达性指标评估中小学布局调整的公平性;进一步探索学生择校的空间规律,并使用Huff模型模拟学校与学生的最佳配置,为布局调整奠定定量分析基础.     

海上距离元胞自动机分析法

针对障碍存在情况下距离变换研究较少的问题,提出了一种基于元胞自动机的绕障欧氏距离变换方法。以南海为例,基于海陆分布数据和目标点数据,以最短绕障路径长度为元胞状态,设计了包含距离算子的元胞状态转换规则。通过元胞自动机模拟距离扩散计算过程,得到绕障距离变换结果,并分析了绕障效果和精度。结果表明:本文方法动态直观地展示了绕障距离变换过程,能够自动计算绕过障碍的最短距离;具有更新机制,能够根据邻域的变化修正状态值;为绕障距离变换问题提供了一种近似的解决途径,错误率低于3.96%,可应用于航线设计、海上救助等领域。     

Incorporating sprawl and adjacency measures in land‐use forecasting model: A case study of Collin County,TX

Sprawl measures have largely been neglected in land‐use forecasting models. The current approach for land‐use allocation using optimization mostly utilizes objective functions and constraints that are non‐spatial in nature. Application of spatial constraints could take care of the contiguity and compactness of land uses and can be utilized to address urban sprawl. Because a land‐use model is used as an input to transportation modeling, a better spatial allocation strategy for more compact land‐use projections will promote better transportation planning and sustainable development. This study formulates a scenario‐based approach to normative modeling of urban sprawl. In doing so, it seeks to improve the land‐use projections by employing a spatial optimization model with contiguity and compactness consideration. This study incorporates urban sprawl measures based on smart growth principles together with a mixed‐use factor, and adjacency consideration of nearby land uses. The objective function used in the study maximizes net suitability based on imposed constraints. These constraints are based on smart growth principles that enhance walkability in neighborhoods, promote better health for residents, and encourage mixed‐use development. The formulated model has been applied to Collin County, TX, a fast‐developing suburban county located to the north of the Dallas–Fort Worth metroplex. The suitability of land cells indicates the probability of conversion, which is calculated using spatial discrete choice analysis with Moran eigenvector spatial filtering for vacant cells at a resolution of 150 × 150 m employing factors of the built environment, and socioeconomic and demographic characteristics. This study demonstrates how spatial proximity between land uses, which has been ignored to date, can be used to control sprawl, resulting in better mixing of different land uses based on constraints imposed in a spatial optimization problem.     

GIS与Voronoi多边形在医疗服务设施地理可达性分析中的应用

地理可达性是研究评价各种服务设施布局及其服务域的重要指标之一,空间距离、交通便捷性、出行成本等是可达性测度的重要因子。由于医疗设施等公共设施通常以服务的公平性和覆盖性为目标,因此可定义居民点到最邻近医院的距离为地理可达性的测度。在此基础上,作者提出了基于GIS与Voronoi多边形的地理可达性计算方法。这一方法不仅将地理可达性分析中的空间点对之间的距离计算简化为空间查询,方便了GIS应用,而且计算的Voronoi多边形在本质上就是最邻近意义上医院的服务域,即服务域内各居民点到该医院的距离就是最邻近距离。此外结合人口分布等属性数据,还可深入分析各医院的服务承载力,本方法为医疗设施等公共服务设施的规划决策提供了重要的工具。     

土地利用景观格局对居民就业可达性的影响——以武汉市中心城区为例

城市的制度转型和空间重构加剧了职住分离现象,降低了居民就业可达性,土地利用景观格局特征是影响居民就业可达性的因素之一。基于经济普查、人口普查数据以及2010年和2014年两期土地利用数据,对武汉市中心城区街道尺度的居民就业可达性进行分析,定量描述土地利用景观格局对居民就业可达性的影响。研究结果表明,景观格局指数中景观尺度的边缘密度、香农多样性指数和斑块类型尺度的斑块面积、斑块占景观面积比例、回旋半径、聚合度均对就业可达性有显著影响;就业类斑块特征对居民就业可达性的影响比居住类斑块更大,居住区规划应考虑周边就业岗位数量;土地利用多样性、斑块分布紧实度的提升均有助于提高居民就业可达性。