Sketch Maps and Qualitative GIS: Using Cartographies of Individual Spatial Narratives in Geographic Research

Mental and sketch maps have a long tradition in modern geography. Little theoretical and methodological distinction has been made, however, between different hand mapping approaches. Mental maps emerged from behavioral geography of the spatial science tradition as a technique to understand human behaviors based on peoples’ perceptions of their spatial environment. More recently, sketch maps have been used in participatory and qualitative geographic information systems (QGIS) to develop cartographies of group and individual spatial narratives. They are a tool that helps achieve QGIS's objectives of collecting unique spatial data of individual experiences, visualizing socio-spatial processes, breaking down particular barriers of positionality in research, and developing new uses of GIS. Two case studies illustrate the use of sketch maps in research, including a project examining job accessibility among working poor individuals and a study of the experiences of fear and safety in public spaces among lesbian, gay, bisexual, and transgender community members. Sketch maps in QGIS have many methodological merits. They add an invaluable dimension to the qualitative interview process, offer countermapping perspectives, generate detailed spatial information of individuals, and facilitate data interpretation.     

从地图到地理信息系统与虚拟地理环境--试论地理学语言的演变

地理学语言是人类认识地球环境和人类社会交流与传递地理信息的重要媒介。该文从传统地图、计算机制图、地理信息系统与遥感，到虚拟地理环境的发展，阐述了地理语言的演变与发展特征。作为地理语言的最新发展，笔者认为虚拟地理环境可以让地理学语言变得更为贴近地理信息的使用者，并为当今可持续发展的公众参与提供一种新的交流平台。虚拟地理环境是区域自然环境和社会经济环境的虚拟模型，它在强调地理信息使用者身临其境之感受的同时，还追求超越现实的理解。     

Identification of GIS Attribute Error Using Exploratory Data Analysis*

Exploratory data analysis (EDA), a data-centered, inductive approach to statistical analysis, provides effective tools for assessing the quality and integrity of GIS attribute data. This research presents selected examples demonstrating EDA distribution analyses, correlational statistics, and proximity analysis. An integrated modular software prototype to operationalize these techniques combines the mapping and display capabilities of ArcView with the statistical functionality of STATA in a MS-Windows multi-tasking, multiple-windowed environment.     

Application of GIS Processing Techniques for Producing Mineral Prospectivity Maps—A Case Study: Mesothermal Au in the Swayze Greenstone Belt,Ontario, Canada

A Geographic Information System (GIS) is used to prepare and process digital geoscience data in a variety of ways for producing gold prospectivity maps of the Swayze greenstone belt, Ontario, Canada. Data used to produce these maps include geologic, geochemical, geophysical, and remotely sensed (Landsat). A number of modeling methods are used and are grouped into data-driven (weights of evidence, logistic regression) and knowledge-driven (index and Boolean overlay) methods. The weights of evidence (WofE) technique compares the spatial association of known gold prospects with various indicators (evidence maps) of gold mineralization, to derive a set of weights used to produce the final gold prospectivity map. Logistic regression derives statistical information from evidence maps over each known gold prospect and the coefficients derived from regression analysis are used to weight each evidence map. The gold prospectivity map produced from the index overlay process uses a weighting scheme that is derived from input by the geologist, whereas the Boolean method uses equally weighted binary evidence maps.The resultant gold prospectivity maps are somewhat different in this study as the data comprising the evidence maps were processed purposely differently for each modeling method. Several areas of high gold potential, some of which are coincident with known gold prospects, are evident on the gold prospectivity maps produced using all modeling methods. The majority of these occur in mafic rocks within high strain zones, which is typical of many Archean greenstone belts.     

Comparative Accuracy in Four Civil War Maps of the Shenandoah Valley: A GIS Analysis*

This study compares the accuracy of four maps available to Union and Confederate officers during the 1862 Shenandoah Valley campaign of the American Civil War. It examines historical maps of the Valley of Virginia by the following cartographers: James W. Abert, Hermann Böÿe and Lewis von Buchholtz, Jedediah Hotchkiss, and Franz Kappner. Both simple and three‐tiered sinuosity measures are derived for reference points along study map representations of the Shenandoah river system. These data are then statistically compared to corresponding sinuosity data from USGS topographic quadrangles to identify the relative accuracies of the historical maps. This article offers evidence to refute the common historical assumption that Hotchkiss provided Maj. Gen. Thomas “Stonewall” Jackson with terrain intelligence that was far superior to that available to his Union opponents. Evidence indicates that maps by Union cartographers as well as the prewar Böÿe‐Buchholtz map were at least as accurate, or superior to, the work of Hotchkiss.     

基于GIS的长江三峡库区滑坡影响因子分析

利用GIS技术和统计方法,对三峡库区选定的研究区域(面积4539km2)滑坡空间分布和地形、地质等滑坡内部因子之间相关性进行统计计算。在建立地质、地形数据库等滑坡因子空间数据库和滑坡空间分布数据库(数据比例尺均为1∶10000)基础上,从地形数据库提取25m分辨率DEM,再派生出高程、高差、坡度、坡向、平面曲率、剖面曲率等地形影响因子;从地质数据库提取地层和岩性组合影响因子。将各个定性的因子按一定规则进行重分类、转换为25m分辨率的栅格数据格式,在GIS中进行地图代数运算、统计计算滑坡和各影响因子相关性。结果表明,滑坡分布和Q4、J1x,J1z、S岩性岩组;90m以下、90～135m和135～175m三个高程带;15～20m局部高差;10°～25°坡度;北、南和西北方向及-1～1曲率范围等影响因子相关性等级都大于1,为滑坡发生的主要影响因子类属。研究的结果是进行滑坡易发性评价的基础,可以指导库区滑坡灾害管理、土地利用等。     

地图与制图术：国际批判制图学/GIS研究进展

地图是地理学的基本语言,也是空间分析必不可少的工具。但长期以来,地图一直被视为一种客观中立的科学成果。受批判地理学的启发,批判制图学/GIS应运而生,其目标是阐明制图实践中所嵌入的话语、权力关系,挑战地图表征中未经检验却被认为是理所当然的假设。经历40余年的争论与磨合,这一研究领域初现轮廓,批判制图学/GIS大致形成2个研究方向：解构路径主要从制图主体身份和地图知识生产过程2个方面出发,分别剖析制图术与国家治理密不可分的联系及其内在的权力作用机制;建构路径主要借助协作制图和反制图手段以实现地图数据的再生产。国内批判制图学/GIS研究刚刚起步,需要继续吸收批判地理学成果,开展不同历史时期、不同类型地图的解构研究,也需要加强建构路径与解构路径的深度弥合,并面向公众开展更加开放、公正的地图应用研究,将研究成果积极应用于社会实践。     

Measuring Change in Place Values for Environmental and Natural Resource Planning Using Public Participation GIS (PPGIS): Results and Challenges for Longitudinal Research

Landscape values are a type of place value and are identified and mapped using public participation GIS (PPGIS). PPGIS engages nonexperts to identify important spatial information for environmental or natural resource planning. In 1998, we used PPGIS to identify landscape values for the Chugach National Forest (Alaska) plan revision process. In 2012, we conducted a longitudinal study of the same national forest using Internet PPGIS to identify changes in landscape values. The empirical results indicate stability in landscape values both in importance and spatial distribution. However, the use of different PPGIS methods (paper map vs. Internet) in the longitudinal study also introduced challenges in interpreting and explaining the spatial results. We discuss trade-offs in conducting longitudinal PPGIS research using mixed methods. PPGIS appears well suited for public lands planning, and national forest planning in particular, but barriers to use, such as regulatory approval, remain formidable.     

Integrating GIS and data warehousing in a Web environment: A case study of the US 1880 Census

While the business intelligence sector, involving data warehouses and online analytical processing (OLAP) technologies, is experiencing strong growth in the IT marketplace, relatively little attention has been devoted to the problem of utilizing such tools in conjunction with GIS. This study contributes to the development of this research area by examining the issues involved in the design and implementation of an integrated data warehouse and GIS system that delivers analytical OLAP and mapping results in real‐time across the Web. The case study chosen utilizes individual records from the US 1880 population census, which have recently been made available by the North Atlantic Population Project. Although historical datasets of this kind present a number of challenges for data warehousing, the results indicate that the integrated approach adopted offers a much more flexible and powerful analytical methodology for this kind of large social science dataset than has hitherto been available.     

Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS

New sources of geolocated information, associated with big data and social networks, show great promise for geographical research, especially in the field of tourism geography. Photo-sharing services comprise one of these sources. The aim of this article is to demonstrate the potential of photo-sharing services for identifying and analyzing the main tourist attractions in eight major European cities: Athens, Barcelona, Berlin, London, Madrid, Paris, Rome and Rotterdam. Geotagged photographs on Panoramio were differentiated according to whether they had been taken by tourists or local residents, and their spatial distribution patterns were analyzed using spatial statistical techniques in a GIS. The results indicated the concentration and dispersion of photographs in each city and their main hot spots, and revealed marked differences between tourists' and residents' photographs, since the former showed higher spatial concentrations. In addition, differences were observed between cities; Barcelona and Rome presented a strong spatial concentration compared with London or Paris, which showed much greater dispersion.     

基于GIS的区域经济统计分析模型研究及应用——以江西省为例

针对当前GIS软件不能有效满足区域经济统计分析的问题,提出了利用GIS技术重新构建区域经济统计分析模型的新思路。对该模型进行了具体建模和编程实现,并将该模型集成到区域经济统计分析系统中,最后利用该系统对江西省各地区经济进行了统计分析的应用实践。研究表明,该区域经济统计分析模型能够有效地应用于区域的经济统计分析,方便政府部门制定与经济相关的各种决策,具有广泛的应用推广价值。     

Weights of Evidence Modeling of Mineral Potential: A Case Study Using Small Number of Prospects,Abra, Philippines

Weights of evidence (WofE) modeling usually is applied to map mineral potential in areas with large number of deposits/prospects. In this paper, WofE modeling is applied to a case study area measuring about 920 km² with 12 known porphyry copper prospects. A pixel size of 100 m × 100 m was used in the spatial data analyses to represent in a raster-based GIS lateral extents of prospects and of geological features considered as spatial evidence. Predictor maps were created based on (a) estimates of studentized values of positive spatial association between prospects and spatial evidence; (b) proportion of number of prospects in zones where spatial evidence is present; and (c) geological interpretations of positive spatial association between prospects and spatial evidence. Uncertainty because of missing geochemical evidence is shown to have an influence on tests of assumption of conditional independence (CI) among predictor maps with respect to prospects. For the final predictive model, assumption of CI is rejected based on omnibus test but is accepted based on a new omnibus test. The final predictive model, which delineates 30% of study area as zones with potential for porphyry copper, has 83% success rate and 73% prediction rate. The results demonstrate plausibility of WofE modeling of mineral potential in large areas with small number of mineral prospects.     

基于GIS的内蒙古半农半牧区地名景观空间分布特征研究

扎鲁特旗地处兴安岭余脉到辽河平原北部,跨中国地形二三阶梯,因各种自然条件所限形成了南农北牧、中间交叉的农牧交错带。通过以内蒙古扎鲁特旗3 349处地名作为考察对象,运用核密度估计、地理集中指数及冷热点分析等方法对地名景观的空间分布规律和特征进行分析。研究发现:(1)研究区自然景观地名主要集中在西部及北部丘陵和中、小山地区,地形地貌类地名集中分布于地形过渡区,即地形起伏较大的地区。水文地名主要分布在相对低海拔地区,与河流大小关系不明显,呈南北均匀分布,呈现出水资源缺乏的干旱半干旱地区地名分布特征;(2)人文景观类地名多分布于中部与南部地区,其分布特征看,人文聚落地名与自然水文地名的关系最为密切,在中部地区随河流带状分布,并且因农业依赖水资源的特征而地表水、地下水富集的相对低海拔区和滨河地区集中的规律。这也是半农半牧地区聚落分布的特点。(3)人文地名经历从清初的随机分布到现在的集中分布的过程,大多人文地名在近百年内形成,其中聚落地名从清初的小型聚落到清末蒙地放垦后初具规模,再发展到现在较有规模的集中聚落。经济、交通、建筑类地名是上世纪80年代以来随工业化、城镇化而逐渐集结。(4)研究区地名...     

Spatial-temporal differences in in-stream flow requirement based on GIS: A case study of Yan’an region, northern Shaanxi

Although water has the central function of the bloodstream in the biosphere espe-cially in arid or semi-arid regions such as Yan’an region in northwestern China, yet the very limited attention is paid to the role of the water-related processes in ecosystem. In this re-search, based on continuous nearly 50-year data including runoff volume, sediment discharge as well as sediment accretion from hydrographic stations, and 10-year information of water quality from pollution monitoring stations, the method for measuring in-stream flow require-ment has been put forward supported by experiential models and GIS spatial analysis. Addi-tionally, the changes of in-stream flow requirement for environment and economic develop-ment have been addressed from spatial-temporal dimensions. The results show that: (1) According to the central streams in Yan’an region, mean annual in-stream flow requirement reaches 1.0619 billion m3, and the surface water for economic exploitation is 0.2445 billion m3. (2) Mean annual in-stream flow requirement for sediment transfers in flood period occupies over 80% of the integrated volume in a year. (3) From the 1950s to 1970s, in-stream flow requirement for sediment transfers is comparatively higher, while from the 1980s to 1990s, this requirement presents a decreasing tendency.     

From Objective Environmental Problems to Subjective Environmental Concern: A Multilevel Analysis Using 30 Indicators of Environmental Quality

This article analyzes the effect of environmental degradation, the affluence hypothesis, and postmaterialist theory to assess the environmental concern of individuals in 51 countries. The hypotheses are tested using a multilevel analysis that employs an unprecedented number of objective indicators of environmental degradation, using the World Values Survey 6th wave (2010–2014). The results support the degradation hypotheses, where the importance of water scarcity in a country and national biodiversity are the major variables that explain individual environmental concern among all the indicators of environmental degradation. The affluence hypothesis is rejected and the postmaterialist theory is supported only at the individual level.     

GEO-Environmental Suitability Evaluation of Land for Urban Construction Based on A Back-Propagation Neural Network and GIS: A Case Study of Hangzhou

Evaluating the geo-environmental suitability of land for urban construction is an important step in the analysis of urban land use potential. Using geo-environmental factors and the land use status of Hangzhou, China, a back-propagation (BP) neural network model for the evaluation of the geo-environmental suitability of land for urban construction was established with a geographic information system (GIS) and techniques of grid, geospatial, and BP neural network analysis. Four factor groups, comprising nine separate subfactors of geo-environmental features, were selected for the model: geomorphic type, slope, site soil type, stratum steadiness, Holocene saturated soft soil depth, groundwater abundance, groundwater salinization, geologic hazard type, and geologic hazard degree. With the support of the model, the geo-environmental suitability of Hangzhou land for urban construction was divided into four suitability zones: zone I, suitable for super high-rise and high-rise buildings; zone II, suitable for multi-story buildings; zone III, suitable for low-rise buildings; and zone IV, not suitable for buildings. The results showed that a BP neural network can capture the complex non-linear relationships between the evaluation factors and the suitability level, and these results will support scientific decision-making for urban-construction land planning, management, and rational land use in Hangzhou.