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1.
Research on hunger and food security in the Global South and the Global North has often emphasized different factors and scales of analyses. Unlike newer monitoring systems in the Global South, which evolved substantially following critiques by Amartya Sen, US food security research has rarely combined the two dimensions of food availability and food access. Furthermore, this research has paid scant attention to household coping strategies. This study responds to this lacuna in US hunger research by developing a spatial model for predicting risk to food insecurity based on proxy measures for access (three demographic variables) and availability (grocery store density). The study then employs qualitative methodologies (surveys and semi-structured interviews) to understand household coping strategies in two ethnically distinct areas in Minneapolis-Saint Paul at risk to food insecurity. One neighborhood is dominated by Southeast Asian and East African immigrants and the other by African-Americans. This approach should allow for better targeting of food aid and programs that help alleviate food insecurity.  相似文献   

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One of the major strengths of a GIS is the ability to integrate and combine multiple layers of geoscience data for producing mineral potential maps showing favorable areas for mineral exploration. Once the data is prepared properly, the GIS, jointly with other statistical and geostatistical software packages, can be used to manipulate and visualize the data in order to produce a mineral prospectivity map. Many spatial modeling techniques can be employed to produce mineral potential maps. This paper demonstrates a technique to define favorable areas for REE mineralization with AHP technique using geological, geochemical, geophysical, alteration and faults density spatial data in the Kerman-Kashmar Tectonic Zone of central Iran. The AHP is a powerful and flexible multi-criteria decision-making tool for dealing with complex problems where both qualitative and quantitative aspects need to be considered. This approach is knowledgedriven method and can be applied in other areas for conventional use in mineral exploration.  相似文献   

4.
Benson  R. C.  Yuhr  L. 《Environmental Geology》1993,22(4):296-307
Assessing the existence, location, and mapping of geologic anomalies, such as fractures and cavities within soil and rock, are common to both engineering and hydrologic project needs. There are numerous measurement techniques available to detect, map, and characterize fractures and cavities. A summary of the common methods available for fracture and cavity detection and mapping are presented along with their spatial sampling capabilities. The remote sensing and geophysical methods are but a small part of this list but provide a wide range of tools to attack the problem. They include some of the most effective methods for locating and mapping fractures and cavities and cover the complete range of spatial sampling, from regional to no more than the surface of a borehole wall. An understanding of all of the tools available and their spatial sampling limitations is a necessary part of planning and carrying out an effective fracture/cavity investigation.  相似文献   

5.
A web GIS (WGIS) system for the Brazilian Amazon, named ImazonGeo and based on open source and public domain data, is presented. ImazonGeo was built following three principles. First, the system is based on Spatial Data Infrastructure architecture and web interface built using free software and public domain data. Second, we went beyond visualization of maps and spatial queries by providing information obtained with spatial analysis models. To do that, we designed a database that stores the results of previously defined spatial analyses and developed customized reports and query tools to facilitate fast access of information by end-users. Finally, the system is application-oriented in the areas of forest monitoring, conservation and forest law enforcement, meaning that it aims to contribute to support the protection of Brazilian Amazon forests. We illustrate these principles by presenting ImazonGeo’s technology, architecture, content and tools. Moreover, we present two successful cases to demonstrate how the system is being used. We conclude the paper discussing the challenges and potential solutions to turning our WGIS-SDI system into an internet hub of geo-information about the Brazilian Amazon.  相似文献   

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The ability to explicitly represent infectious disease distributions and their risk factors over massive geographical and temporal scales has transformed how we investigate how environment impacts health. While landscape epidemiology studies have shed light on many aspects of disease distribution and risk differentials across geographies, new computational methods combined with new data sources such as citizen sensors, global spatial datasets, sensor networks, and growing availability and variety of satellite imagery offer opportunities for a more integrated approach to understanding these relationships. Additionally, a large number of new modelling and mapping methods have been developed in recent years to support the adoption of these new tools. The complexity of this research context results in study-dependent solutions and prevents landscape approaches from deeper integration into operational models and tools. In this paper we consider three common research contexts for spatial epidemiology; surveillance, modelling to estimate a spatial risk distribution and the need for intervention, and evaluating interventions and improving healthcare. A framework is proposed and a categorization of existing methods is presented. A case study into leptospirosis in Sri Lanka provides a working example of how the different phases of the framework relate to real research problems. The new framework for geocomputational landscape epidemiology encompasses four key phases: characterizing assemblages, characterizing functions, mapping interdependencies, and examining outcomes. Results from Sri Lanka provide evidence that the framework provides a useful way to structure and interpret analyses. The framework reported here is a new way to structure existing methods and tools of geocomputation that are increasingly relevant to researchers working on spatially explicit disease-landscape studies.  相似文献   

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应用Virtual Globe技术和面向服务的软件构架SOA模型.通过综合分析地质灾害的空间数据和业务数据的特点,确定了不同数据类型之间的联系与服务方式.构建了一个地质灾害监测预警三维可视化数据集成框架,实现地质灾害空间数据和业务数据的集成和地质灾害相关信息的三维可视化显示.开发了基于B/S模式的华蓥山地质灾害监测预警...  相似文献   

8.
本文基于三维地质环境,综合白象山矿区积累的地质资料和物探成果,首先开展三维地质建模工作,详细刻画了白象山矿区的三维地质结构;在三维地质模型基础上,利用三维空间分析手段对三维控矿因素进行定量挖掘,提取了多种三维控矿因素;最后采用人工神经网络方法进行三维成矿定位预测。预测结果显示,人工神经网络三维成矿定位预测能很好的定位出已知矿体,同时显示,在已知矿体北部及东部的深边部具有较高的成矿概率,可作为开展进一步找矿勘探的靶区。因此,人工神经网络三维成矿定位预测对于白象山矿区的应用是有效的,可服务于新老矿区的深边部三维成矿定位预测,同时可为隐伏矿、盲矿的成矿预测和优选靶区提供定量、定位新的方法和途径。  相似文献   

9.
The Bayesian Maximum Entropy (BME) method of spatial analysis and mapping provides definite rules for incorporating prior information, hard and soft data into the mapping process. It has certain unique features that make it a loyal guardian of plausible reasoning under conditions of uncertainty. BME is a general approach that does not make any assumptions regarding the linearity of the estimator, the normality of the underlying probability laws, or the homogeneity of the spatial distribution. By capitalizing on various sources of information and data, BME introduces an epistemological framework that produces predictive maps that are more accurate and in many cases computationally more efficient than those derived by traditional techniques. In fact, kriging techniques can be derived as special cases of the BME approach, under restrictive assumptions regarding the prior information and the data available. BME is a more rigorous approach than indicator kriging for incorporating soft data. The BME formulation, in fact, applies in a spatial or a spatiotemporal domain and its extension to the case of block and vector random fields is straightforward. New theoretical results are presented and numerical examples are discussed, which use the BME approach to account for important sources of knowledge in a systematic manner. BME can be useful in practical situations in which prior information can be used to compensate for the limited amount of measurements available (e.g., preliminary or feasibility study levels) or soft data are available that can be combined with hard data to improve mapping significantly. BME may be then viewed as an effort towards the development of a more general framework of spatial/temporal analysis and mapping, which includes traditional geostatistics as its limiting case, and it also provides the means to derive novel results that could not be obtained by traditional geostatistics.  相似文献   

10.
The quantitative geomorphic analysis is a powerful tool for the study of geomorphology and landforms, as it provides objective methods to describe the main properties of drainage basins by means of an appropriate set of parameters. Over the last decades, GIS techniques and processing tools have been widely applied to the geomorphic analysis, and specific applications were developed, essentially using commercial software. In the present paper, the first experimental version of QMorphoStream, an originally developed set of processing tools for quantitative geomorphic analysis in QGIS environment, is presented. Besides the obvious advantage in terms of cost reduction, the choice of an open source development environment allowed us to integrate original algorithms with both QGIS built-in functions and processing tools available in the developers’ community.  相似文献   

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