广东省不动产登记审批发证系统的设计与实现

在广东省进一步加快推进不动产统一登记发证的背景下,通过对业务需求进行系统分析,提出了系统的设计思路、总体框架和数据库结构设计,并对系统在实现过程中采用的关键技术进行了分析,然后,介绍了系统重要功能的实现,最后对系统的主要特点进行了总结和展望。     

基于RS和GIS的土地生产力与人口承载量──以向家坝库区为例

本文在分析土地生产力与承载力研究现状的基础上 ,以向家坝库区耕地为研究对象 ,根据库区经济地理现状 ,确定土地人口载量研究区域 ,并利用GIS和RS技术对研究区土地利用现状和地形地貌特点进行深入分析 ,建立“空间·属性一体化”数据库。本文还建立了土地资源人口承载量评价指标体系 ,利用潜力递减法 ,进行以村级为单位的耕地粮食综合村尺度的近期和远景 (2 0 12 )土地人口承载量研究 ,提出与当地农业发展相一致的整个研究区环境容量。结果表明 ,与其它耕作方式相比 ,复种耕种可获得更大的人口承载量 ;库区环境容量已趋饱和 ,而且未来库区土地承载力呈下降趋势 ;通过改良品种、扩大水稻播种面积可在一定程度上缓解地矛盾。     

动态分段思想在MapInfo中的实现

动态分段是一种新的线性特征的动态分析、显示和绘图技术.目前该技术已经成功地应用在以Arc/Info为代表的采用"弧段-结点"数据模型的GIS软件中,但是在采用"面向实体"数据模型的GIS软件中实现动态分段的研究却很少.本文在分析Arc/Info中动态分段数据结构的基础上,探讨如何在MapInfo中实现动态分段思想.     

Eagle Nebula Pillars: From Models to Observations

Over the past few years, our group has been developing hydrodynamic models to simulate formation of the Eagle Nebula pillars. The true test of any model is, of course, how well it can reproduce the observations. Here, we discuss how we go about testing our models against observations. We describe the process by which we “observe” the model data to create synthetic maps. We show an example of this technique using one of our model runs and compare the resultant synthetic map to the real one.     

GIS-based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India

This paper addresses the need for an efficient and cost-effective methodology for preparing flood hazard maps in data poor countries, particularly those under a monsoon regime where floods pose a recurrent danger. Taking Gangetic West Bengal, India, as an example and using available historical data from government agencies, the study compiled a regional map indicating hazard prone subregional areas for further detailed investigation, thereby isolating actual high risk localities. Using a GIS (Geographical Information System), a composite hazard index was devised incorporating variables of flood frequency, population density, transportation networks, access to potable water, and availability of high ground and maximum risk zones were mapped accordingly. A digital elevation model derived from high resolution imagery available in the public domain was used to calculate elevated areas suitable for temporary shelter during a flood. Selecting administrative units of analysis at the lowest possible scales – rural development blocks (regional) and revenue villages (subregional) – also ensures that hazard mapping is prepared in line with the existing rural planning and administrative authorities responsible for remedial intervention.     

George J. Miller award for Distinguished Service

Abstract

With this paper, I elaborate the use of the movies American History X and Mi Familia in classroom settings to highlight issues of ethnicity and the social construction of identity through families and communities. Taken together, these movies draw attention to racial geographies of Los Angeles but in very different ways. I contrast the ways they involve familial reactions to geographies of exclusion and betrayal, and how racial space is structured through larger community and institutional relations. I speak to how these issues are broached in a large introductory, interdisciplinary class.     

Land cover classification by an artificial neural network with ancillary information

Abstract

Remote sensing is an important source of land cover data required by many GIS users. Land cover data are typically derived from remotely–sensed data through the application of a conventional statistical classification. Such classification techniques are not, however, always appropriate, particularly as they may make untenable assumptions about the data and their output is hard, comprising only the code of the most likely class of membership. Whilst some deviation from the assumptions may be tolerated and a fuzzy output may be derived, making more information on class membership properties available, alternative classification procedures are sometimes required. Artificial neural networks are an attractive alternative to the statistical classifiers and here one is used to derive a fuzzy classification output from a remotely–sensed data set that may be post–processed with ancillary data available in a GIS to increase the accuracy with which land cover may be mapped. With the aid ancillary information on soil type and prior knowledge of class occurrence the accuracy of an artificial neural network classification was increased by 29–93 to 77–37 per cent. An artificial neural network can therefore be used generate a fuzzy classification output that may be used with other data sets in a GIS, which may not have been available to the producer of the classification, to increase the accuracy with which land cover may be classified.     

1980-2010年安徽省土壤有机碳密度及储量时空变化分析

利用安徽省第二次土壤普查资料和2010-2011年土壤调查数据,运用GIS技术,研究1980-2010年安徽省表层（0~20 cm）和1 m土体中土壤有机碳（SOC）密度和储量的时空变化,并探讨土地利用变化对SOC储量变化的影响。研究表明：① 1980-2010年安徽省表层和1 m土体中SOC密度平均减少0.37 kg/m²和1.63 kg/m²,但耕地的SOC密度增加。② 1980-2010年,全省SOC密度空间变化呈现北增南减的趋势,且增加幅度由北向南依次减小。表层和1 m土体的SOC密度增加的面积为56.97%和58.21%。③ 1980-2010年,全省表层SOC储量减少34.23×10⁹ kg,1 m土体中SOC储量减少197.26×10⁹ kg。淮北平原、江淮丘陵岗地和沿江平原的SOC储量增加,皖西大别山区和皖南丘陵山区减少。④ 非耕地转换为耕地,比保持用地类型不变或变为其他非耕地类型,SOC密度和储量减少较慢。耕地类型内部转换（水田和旱地间转换）比保持类型不变的SOC密度和储量增加较多。研究成果为区域土壤固碳潜力、土壤肥力变化等研究提供科学依据。