GIS and simple systems for visual,interactive, spatial analysis

Abstract

In much the same way as a spreadsheet is more appropriate to some needs than a fully relational DBMS, many users interested in analysis of spatially referenced data have fairly unsophisticated requirements for extensive data storage or complex retrieval functions, and limited needs for topographic detail, cartographic accuracy or advanced map editing; however, they do require access to a wide range of statistical functions for data transformation, reduction and smoothing, multivariate analysis, and the modelling of spatial relationships. This paper argues that the needs of such users are poorly met by the 'mainstream' model for GIS that is often presented in the literature. A PC-based system, equivalent in GIS terms to the spreadsheet, is described. It integrates simple data structures, limited map creation and editing, a powerful range of standard and spatially orientated statistical functions, and the ability to interactively present results through chloropleth, contour, proportionate symbol, or proximally shaded maps. It is particularly designed to be easily accessible and to encourage visual interactive analysis. For some users such a system has acted as an adequate solution in its own right and for others it has provided a useful educational transition to more extensive and powerful systems.     

Dealing with spatial relations for spatial objects with randomness in GIS

1　ＩｎｔｒｏｄｕｃｔｉｏｎＳｐａｔｉａｌｒｅｌａｔｉｏｎｓｑｕｅｒｙｉｓｏｎｅｏｆｂａｓｉｃｆｕｎｃｔｉｏｎｓｉｎＧＩＳ’ｓａｐｐｌｉｃａｔｉｏｎ .ＭｏｓｔｏｆｃｕｒｒｅｎｔｃｏｍｍｅｒｃｉａｌＧＩＳｓｃａｎｏｎｌｙｑｕｅｒｙｓｐａｔｉａｌｒｅｌａｔｉｏｎｓｆｏｒｓｐａｔｉａｌｏｂ ｊｅｃｔｓｗｉｔｈｏｕｔａｎｙｅｒｒｏｒｏｒｕｎｃｅｒｔａｉｎｔｙ ,ｆｏｒｅｘａｍｐｌｅ ,ｔｏｕｓｅｃｏｍｐｕｔａｔｉｏｎ ｇｅｏｍｅｔｒｙａｌｇｏｒｉｔｈｍｔｏｄｅｔｅｒ ｍｉｎｅｗｈｅｔｈｅｒａｐｏｉｎｔｆａｌｌｓ…     

Dealing with spatial relations for spatial objects with randomness in GIS

To design retrieval algorithm of spatial relations for spatial objects with randomness in GIS, this paper builds up the membership functions based on set theory idea, used for determination of topological spatial relations between random objects, such as between point and point, point and line or polygon, which provides theoretical basis for retrieving spatial relations between certain and random objects. Finally, this paper interprets detailed methods and steps of realizing them by means of some simple examples under the GIS's environment.     

On aggregation in spatial econometric modelling

The spatial aggregation problem – also termed the modifiable areal unit problem – has attracted regular attention in spatial statistics and econometrics. In this study econometric aggregation analysis is used to investigate the formal composition of meso-areal parameters given micro-areal underlying relations with spatial dependence. Impact on stochastic terms (possible meso-areal spatial autocorrelation) is also studied. Finally consequences for meso-areal estimation are derived, the general finding having been that spatial aggregation leads to meso-region specific parameter values, with the estimation problems this implies.     

Using InfoVal method and GIS techniques for the spatial modelling of landslide susceptibility in the upper catchment of river Meenachil in Kerala

A GIS-based statistical methodology for landslide susceptibility zonation is described and its application to a study area in the Western Ghats of Kerala (India) is presented. The study area was approximately 218.44 km² and 129 landslides were identified in this area. The environmental attributes used for the landslide susceptibility analysis include geomorphology, slope, aspect, slope length, plan curvature, profile curvature, elevation, drainage density, distance from drainages, lineament density, distance from lineaments and land use. The quantitative relationship between landslides and factors affecting landslides are established by the data driven-Information Value (InfoVal) — method. By applying and integrating the InfoVal weights using ArcGIS software, a continuous scale of numerical indices (susceptibility index) is obtained with which the study area is divided into five classes of landslide susceptibility. In order to validate the results of the susceptibility analysis, a success rate curve was prepared. The map obtained shows that a great majority of the landslides (74.42%) identified in the field were located in susceptible and highly susceptible zones (27.29%). The area ratio calculated by the area under curve (AUC) method shows a prediction accuracy of 80.45%. The area having a high scale of susceptibility lies on side slope plateaus and denudational hills with high slopes where drainage density is relatively low and terrain modification is relatively intense.     

A comprehensive optimization strategy for real-time spatial feature sharing and visual analytics in cyberinfrastructure

For geospatial cyberinfrastructure-enabled web services, the ability of rapidly transmitting and sharing spatial data over the Internet plays a critical role to meet the demands of real-time change detection, response and decision-making. Especially for vector datasets which serve as irreplaceable and concrete material in data-driven geospatial applications, their rich geometry and property information facilitates the development of interactive, efficient and intelligent data analysis and visualization applications. However, the big-data issues of vector datasets have hindered their wide adoption in web services. In this research, we propose a comprehensive optimization strategy to enhance the performance of vector data transmitting and processing. This strategy combines: (1) pre- and on-the-fly generalization, which automatically determines proper simplification level through the introduction of appropriate distance tolerance speed up simplification efficiency; (2) a progressive attribute transmission method to reduce data size and, therefore, the service response time; (3) compressed data transmission and dynamic adoption of a compression method to maximize the service efficiency under different computing and network environments. A cyberinfrastructure web portal was developed for implementing the proposed technologies. After applying our optimization strategies, substantial performance enhancement is achieved. We expect this work to facilitate real-time spatial feature sharing, visual analytics and decision-making.     

A GIS for hydrological modelling in the semi-arid, HAPEX-Sahel experiment area of Niger, Africa

During the HAPEX-Sahel experiment (1991–94), water redistribution processes were studied at the meso-scale (10 000 km²) near Niamey, Niger. A project now under way at ORSTOM aims at modelling the regional water balance through a spatial approach combining GIS data organization and distributed hydrological modelling. The main objective is to extend the surface water balance, by now available only on a few, small (around 1 km²) unconnected endoreic catchments, to a more significant part of the HAPEX-Sahel square degree, a 1500 km² region called SSZ that includes most of the environmental and hydrology measurement sites. GIS architecture and model design consistently consider data and processes at the local, catchment scale, and at the regional scale. The GIS includes spatial and temporal hydrological data (rainfall, surface runoff, ground water), thematic maps (topography, soil, geomorphology, vegetation) and multi-temporal remote sensing data (SPOT, aerial pictures). The GIS supports the simulation of the composite effect at the regional scale of highly variable and discontinuous component hydrologic processes operating at the catchment scale, in order to simulate inter-annual aquifer recharge and response to climatic scenarios at the regional scale.     

地理信息技术辅助的广播电视频率规划

针对广播电视频率规划无法直观展示且耗时耗力的问题,该文提出将地理信息系统的理论与方法应用在广播电视频率规划领域,通过利用地理信息空间数据库辅助广播电视部门进行台站数据管理,有效提高数据管理水平;利用地理信息技术构建电波空间传播模型,直观展示电波在真实世界中的传播及覆盖情况。结果表明,基于地理信息技术构建的广播电视频率规划软件直观展示了频率之间的相互关系和对未来规划的影响。该文可为节约频谱资源,科学地规划广播电视频率提供决策支持。     

山区土地评价的GIS空间分析建模研究

为了因地制宜地开发利用地形地貌复杂、土层较薄、基岩裸露率较高的山区土地,需要提前进行适宜性评价,目前主要采用Arc GIS空间分析方法进行分析处理,但是处理过程繁杂,易出错。本研究采用Arc GIS空间分析模型生成器对分析过程进行模型化处理,对每个评价因子数据处理过程进行处理流程建模,关联各个因子模型进行多因子综合评价,可得出山区土地资源建设适宜性评价模型。采用上述方法对研究区域进行相关分析处理,再结合大量地面调查,分析出的评估结果与实际土地开发利用适宜性有较高吻合度,验证了该GIS模型方法的科学性与可靠性,而且较常规的方法数据处理效率明显提高,数据处理模型也可以共享。     

开源体系在GIS软件开发课程中的应用

商用GIS软件在GIS教学中的应用削弱了学生对原理和算法的认知和探索,有必要采用开源GIS体系进行代替.本文针对GIS软件开发系列课程的教学目标和知识点,对开源GIS软件体系进行了分类,并从许可协议、开发模式等方面提出了一套涉及GIS软件底层开发、桌面端开发、WebGIS开发和移动GIS开发的开源解决方案.通过教学实践...     

三维GIS中R树空间索引研究

对于三维GIS来说,建立高效的三维空间数据索引是其关键技术之一。R树索引是近年来应用最广泛的方法之一。本文以覆盖面积和重叠面积之和作为R树结点插入标准,并且引入K均值聚类算法对结点分裂算法进行了改进。另外,对于三维GIS中较大的地物如道路、河流等,实施裁剪策略。从而使R树同层结点间的重叠度显著下降,空间对象的聚簇也更趋合理,有效提高了三维GIS数据库的查询速度。     

搭建式GIS软件开发及其对软件工程的影响

搭建式GIS软件开发是一种新的软件开发技术,这种软件开发技术有一套与之相匹配的软件工程方法。本文首先介绍了基于搭建的软件开发过程及特点,然后阐述了搭建式GIS软件开发的基本原理,最后结合MapGIS软件的开发实践,举例说明功能搭建的过程。     

基于GIS的开采沉陷空间建模及计算研究

本文针对开采沉陷地表移动变形计算问题,在GIS平台利用空间数据模型给出了预测计算中不同坐标系的转换公式及其空间数据库的构建,并讨论GIS与专业工程模型的耦合方法,提出了基于COM的模型耦合方法应用于系统的构架。实践证明,该方式下GIS与开采沉陷专业工程模型结合具有明显的优越性,对其他相关专业领域的耦合应用具有一定的借鉴意义。     

GIS空间数据几何变换的不确定性传播

针对点位误差、线元在对称、旋转变换过程中不确定性的传播规律,该文采用误差椭圆和εm模型描述GIS空间数据对象模型中最常用的点、线元素的误差域,讨论几何变换(如对称、旋转变换)过程中不确定性的积累和传播规律,结合区间算法给出了变换后误差域模型。基于区间运算的INTLAB模拟结果验证了该模型的有效性和实用性。研究结果对进一步探讨其他几何变换过程中不确定性的积累传播规律具有一定参考。     

R数据统计分析语言及其在GIS中的应用

R数据统计分析软件是Linux平台下的一个优秀的数据统计软件,现在也已提供了在Windows平台下的安装版本并且具有简单的图形用户界面。它使用简单、功能强大且完全免费,因此与SPSS、SAS等较为流行的数据统计分析软件相比具有与一定的经济优势。同时,R语言的灵活性、可扩充性使得R能很容易地应用到GIS领域,在GIS空间数据分析、地统计分析以及图像处理等方面具有很好的应用前景。本文概要介绍了R语言的一些功能特点及其与GIS开源软件GRASS的集成。     

空间数据操纵语言实现体系结构研究

在分析对象—关系数据模型的基础上,基于OpenGIS规范,借鉴、参考SQL2语言,以中间层为媒介,针对数据操纵体系及其用户接口,提出了一种可供实现的空间数据操纵语言体系结构,并以实例论述了数据操纵语言对空间数据操纵的全过程。这种将空间数据操作封装并以中间件的方式,插入到GIS应用和RDBMS中,使得对空间数据的操纵能够用数据库界最为常用的SQL语言形式来表达。     

空间信息可视化挖掘研究

空间信息的可视化挖掘是数据挖掘领域的热点 ,具有很强的应用前景。本文从数据挖掘的基本概念入手 ,详细介绍了可视化数据挖掘的两种分类体系 :Keim分类体系和Card分类体系 ,同时分析了这两种分类体系中各种可视化数据挖掘方法的基本思路 ,探讨了可视化数据挖掘技术与空间信息领域应用相结合的各种途径 ,并给出了空间信息可视化挖掘的常用方法     

Using GIS to promote spatial analysis

This paper examines why GIS has made little contribution to the dissemination of spatial analysis procedures. In the future, it is anticipated that GIS is more likely to embrace procedures which are exploratory and local and which are capable of performing multiple roles. To facilitate this, there is a need to develop more interdisciplinary interaction, new texts, and integrated software.