面向目标数据模型在地理属性数据库中的应用

这篇文章分析了GIS属性数据库中传统关系数据模型所存在的问题;介绍了面向目标数据模型的基本概念;探讨了利用面向目标语言Hyper Talk和关系数据库管理系统Oracle的结合实现这种模型的可能性。按这种方式建立的地理属性数据库的原型表明,它可以克服传统的关系数据模型所存在的某些问题,提高数据库的效率。     

集成GIS和细胞自动机模型进行地理时空过程模拟与预测的新方法

目前商用地理信息系统（GIS）不能完整地表达地理实体的时态信息和时空关系，缺乏时空分析和时空动态模拟的能力，这已成为GIS界的一个共识，然而，未来GIS在各应用领域的深入发展以及在实现“数字地球”战略过程中，都要求发展新的时空分析和模拟方法，细胞自动机（Cellular Automaton)是一种“自下而上”的动态模拟建模框架，具有模拟地理复要系统时空演化过程的能力，首先将标准CA模型的4元组进行扩展以满足GIS环境下时空动态模型的要求，然后以城市土地利用演化这一动态过程为例，建立了土地利用演化动态模拟与预测模型（LESP），最后运用此模型对包头市城市扩展和土地可持续利用演化进行了比较成功的模拟和预测。     

Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR)

Spatial data analysis (SDA) tools to efficiently handle and explore spatial data have become readily available. Although these SDA tools have their own strengths and purposes, they suffer from limited support in terms of a development environment offering easy customization and high extensibility, a strength of open source software. This article presents a standalone software package for SDA in a geographic information system (GIS) environment, called Spatial Analysis using ArcGIS Engine and R (SAAR), which provides an integrated GIS and SDA environment. A set of SDA tools in SAAR utilizes functions in R using R.NET, while other tools were developed in .NET independent of R. SAAR provides an efficient working environment for both general and advanced GIS users. For general GIS users with limited programming skills, SAAR furnishes advanced SDA tools in a popular ArcGIS environment with graphical user interfaces. For advanced GIS users, SAAR offers an extensible GIS platform to help them customize and implement SDA functions with relatively little development effort. This article demonstrates some functionalities of SAAR using census data for Texas counties.     

HydrIS:一个用于地下水管理的开放的GIS决策支持系统——以Morocco为例(英文)

A regional groundwater management system has been elaborated, integrating Relational Database Management System (RDBMS) and various web services. It consists of web geospatial application so-called HydrIS ( Hydrogeological Information System) based on Open Source components and technologies, leading to a feasible and low-cost solution. Therefore, HydrIS permits delivery of data from a number of heterogeneous sources to standards supported by the Open Geospatial Consortium (OGC). The protocols used for exchanging data are also derived from OGC standards, i.e., WMS (Web Mapping Service), WFS (Web Feature Service), and WCS (Web Coverage Service). Finally, a geoportal was developed, which consists of client-applications that communicate with different Web Services (WMS, WCS, and WFS) through http-requests. A prototype for web-based GIS application was designed using the deegree Framework to provide systematic interfaces and functions. This system was developed to demonstrate the value of making hydrogeological data more widely accessible through client/server architecture. This experience and knowledge already gained in this project will be a source for technology transfer and policy decisions. Otherwise, this will enable user groups to improve the management of their groundwater resources and contribute to enhanced decision support capabilities.      

HydrIS: An open source GIS decision support system for groundwater management (Morocco)

A regional groundwater management system has been elaborated, integrating Relational Database Management System (RDBMS) and various web services. It consists of web geospatial application so-called HydrIS (Hydrogeological Information System) based on Open Source components and technologies, leading to a feasible and low-cost solution. Therefore, HydrIS permits delivery of data from a number of heterogeneous sources to standards supported by the Open Geospatial Consortium (OGC). The protocols used for exchanging data are also derived from OGC standards, i.e., WMS (Web Mapping Service), WFS (Web Feature Service), and WCS (Web Coverage Service). Finally, a geoportal was developed, which consists of client-applications that communicate with different Web Services (WMS, WCS, and WFS) through http-requests.     

Integrating Remote Sensing Techniques,Geographical Information Systems (GIS), and Stochastic Models for Monitoring Land Use and Land Cover (LULC) Changes in the Northern Coastal Region of Nayarit,Mexico

Land use and land cover (LULC) changes in northern Nayarit, Mexico were estimated using post-classification change detection methods and a Markov chain model. Three thematic maps were generated by classifying Landsat images from 1973, 1900, and 2000, which were then overlaid to generate three change-detection matrices to assess the intensity and direction of changes. Between 25% and 30% of the region displayed LULC changes, attributable to a stochastic behavior that can be modeled with a first-order Markov chain. The steady-state distribution estimates indicate that the LULC patterns in the region have not yet reached equilibrium and predict the expansion of the agricultural boundaries.     

城市地下管网信息野外采集到内业一体化成图作业方案的设计与实现

分析了城市地下管网信息的特点及数据源的获得获取方式，研究了系统的编码方法，设计了各数据文件的数据结构，结管网数据野外直接采集到内业一体化成图的作业方案进行了较详细的研究，并在MapInfo平台上进行了功能模拟，获得了较好的效果。     

Classifying airborne radiometry data with Agglomerative Hierarchical Clustering: A tool for geological mapping in context of rainforest (French Guiana)

In highly weathered environments, it is crucial that geological maps provide information concerning both the regolith and the bedrock, for societal needs, such as land-use, mineral or water resources management. Often, geologists are facing the challenge of upgrading existing maps, as relevant information concerning weathering processes and pedogenesis is currently missing. In rugged areas in particular, where access to the field is difficult, ground observations are sparsely available, and need therefore to be complemented using methods based on remotely sensed data.     

GIS analysis of the trafficability determined by slope in the eastern Tyrol front (WWI,Eastern Alps): a military history reading

In the autumn of 1914, Austria-Hungary began to prepare for the possibility of an Italian offensive by building field fortifications, which formed the Tyrol Defense Line (TDL). Mountainous areas, such as the area of the TDL, present obstacles to trafficability in large part caused by terrain slope. On the eastern Tyrol front, steep slope obstructed trafficability when the Italians attacked the TDL and represented, in turn, an advantage for the Austro-Hungarian defense. This paper focuses on the assessment of the conditions of trafficability determined by slope in the eastern Tyrol front, using a GIS cost distance analysis. Key sources were the maps of Austrian and Italian official histories, parameters derived mainly from Marinelli’s slope classification, and from the interpretation of the particular historical circumstances. The advantages and disadvantages were considered from the perspective of the defensive and offensive and their significance for the history of this conflict. In particular, these were related to the perimeter to be defended by alternative Austro-Hungarian lines.     

Support Vector Machine (SVM) Classification: Comparison of Linkage Techniques Using a Clustering-Based Method for Training Data Selection

Support vectors, which usually compose a subset of training sets, determine the decision function of support vector machine (SVM) classification. Selecting a subset including the support vectors through reducing a large training set is a challenge. This paper examines how different linkage techniques in a clustering-based reduction method affect classification accuracy for semiarid vegetation mapping. The investigated linkage techniques include single, complete, weighted pairgroup average, and unweighted pair-group average. Using a multiple-angle remote sensing data set, there is no loss of SVM accuracy when the original training set is reduced to 21%, 14%, 20%, and 20% for these four linkage techniques, respectively.     

A Geographic Information System (GIS)-based approach for relating anthropogenic impact and environmental stress: a case study within the African Albertine Rift

This study introduces a potentially cost-effective methodology to assess habitat quality remotely using anthropogenic variables derived from both Geographic Information System (GIS) and remote sensing. We related anthropogenic impact to organism-level response across the Albertine Rift of East-Africa, which was measured using body condition (BC) in Lophuromys aquilus, the dark-coloured brush-furred rat. We chose seven variables to measure anthropogenic impact, ranging from land cover/land use to nighttime light radiance. Using a principal component analysis, we extracted four components that describe human impact and correlated each with BC. We documented that BC tended to be higher in more disturbed areas. We recommend this GIS-based methodology to relate anthropogenic impact to organismal-level response in the Albertine Rift region, and we provide broad guidelines for its application to assess habitat quality for species of conservation concern.