Using Qualitative Methods in Medical Geography: Deconstructive Moments in a Subdiscipline?

As medical geography reinvents itself as health geography, the linkages between social theory and the deconstruction of central categories organizing its medical orientation are being explored. This paper discusses the contribution of qualitative research to this process. In providing access to alternative ways of understanding health concerns, and emphasizing issues of power in the production of knowledge, qualitative methodology carries the potential for reconceptualizing key issues framing investigation of the relationships between place, people, and their health. In pursuing current issues in social theory, qualitative research also contributes to the blurring of the subdiscipline's boundaries and revitalizes its agenda.     

基于SoftGIS的土地利用地域性认同测度研究——以荷兰为例

在剖析地域性认同双重内涵及其与土地利用关系的基础上,结合SoftGIS技术,研究构建土地利用地域性认同测度方法,并以荷兰为例进行实证分析。数据分析显示,传统GIS数据可与土地利用认知数据相融合,基于核密度修正法构建的土地利用地域性认同指数可测度地域性认同的空间差异,应用于土地利用评价或规划决策。结论表明,测度平台在问卷设计和调查空间尺度上具有灵活性,数据收集快捷,通过平台的高清卫星地图定位,调查对象可反馈空间准确、情景真实的土地利用地域性认同信息。     

Synthesized Model of Geospatial Thinking

Since the National Research Council (2006) report Learning to Think Spatially formalized geospatial thinking, researchers and educators have recognized the importance of investigating and understanding geospatial thinking. Conceptual frameworks have been developed and applied to individual research projects. Although useful in these contexts and potentially extendable to other related inquiries, they also overlap and conflict with one another. Moreover, the separate frameworks are built on different constructs, resulting in a disparate rather than a cohesive theoretical foundation for geospatial thinking. This article synthesizes existing frameworks and generates a model that represents conceptual advances and provides a foundation for research question generation.     

Integration of Geospatial Science in Teacher Education

Abstract

One of the primary missions of our university is to train future primary and secondary teachers. Geospatial sciences, including GIS, have long been excluded from teacher education curriculum. This article explains the curriculum revisions undertaken to increase the geospatial technology education of future teachers. A general education class introducing geospatial technology to the general student body has been developed, a cartography class has been modified to provide applied geospatial experience explicitly for future teachers, and a service learning partnership with local K–12 schools has been established where students are working with teachers to integrate geospatial sciences in their academic programs.     

Using geospatial technology to strengthen data systems in developing countries: The case of agricultural statistics in India

Despite significant progress in the development of quantitative geography techniques and methods and a general recognition of the need to improve the quality of geographic data, few studies have exploited the potential of geospatial tools to augment the quality of available data methods in developing countries. This paper uses data from an extensive deployment of geospatial technology in India to compare crop areas estimated using geospatial technology to crop areas estimated by conventional methods and assess the differences between the methods. The results presented here show that crop area estimates based on geospatial technology generally exceed the estimates obtained using conventional methods. This suggests that conventional methods are unable to respond quickly to changes in cropping patterns and therefore do not accurately record the area under high-value cash crops. This finding has wider implications for commercializing agriculture and the delivery of farm credit and insurance services in developing countries. Significant data errors found in the conventional methods could affect critical policy interventions such as planning for food security. Some research and policy implications are discussed.     

跨国宗族网络与侨乡地方意义的建构研究——以前美村为例

基于跨国宗族网络与地方意义营造的视角,以汕头市澄海区前美村为案例,试图挖掘充满地方意义的侨乡在外部政治经济体制和地方文化社会相互作用下的地方社会建构和营造过程。研究使用文本分析、深度访谈和实地观察等质性研究方法,揭示了作为“地方”的侨乡所具有的丰富的地方意义,以及地方意义建构过程中以跨国宗族网络为主社会关系之不断演替的机制所在。研究发现,前美村的空间和地方意义被不断地重构,而作为空间表征的“侨乡”也在不同时期的不同社会关系的空间实践下表达出不同的文化意义和地方意象。相较于以往各学科的侨乡研究,本文重视以往长期为学界所忽视的侨乡的空间和地方意义,从空间、地方和人的动态关系这一重要的地理纬度对侨乡内在的深刻社会文化进程进行了探讨。     

Enriching user profiles using geo-social place semantics in geo-folksonomies

Geo-folksonomies link social web users to geographic places through the tags users choose to label the places with. These tags can be a valuable source of information about the user’s perception of place and can reflect their experiences and activities in the places they label. By analysing the associations between users, places and tags, an understanding of a place and its relationships with other places can be drawn. This place characterisation is unique, dynamic and reflects the perception of a particular user community that generated the geo-folksonomy. In this work, an approach is proposed to analysing geo-folksonomies that builds on and extends existing statistical methods by considering specific concepts of relevance to geographic place resources, namely, place types and place-related activities, and by building a place ontology to encode those concepts and relationships. The folksonomy analysis and evaluation are demonstrated using a realistic geo-folksonomy data set. The resulting ontology is used to build user profiles from the folksonomy. The derived profiles reflect the association between users and the specific places they tag as well as other places with relevant associated place type and activities. The methods proposed here provide the potential for many interesting and useful applications, including the harvesting of useful insight on geographic space and employing the derived user profiles to enhance the search experience and to identify similarities between users based on their association to geographic places.     

Effect of climate and seasonality on depressed mood among twitter users

Location-based social media provide an enormous stream of data about humans' life and behavior. With geospatial methods, those data can offer rich insights into public health. In this research, we study the effect of climate and seasonality on the prevalence of depression in Twitter users in the U.S. Text mining and geospatial methods are used to detect tweets related to depression and their spatiotemporal patterns at the scale of Metropolitan Statistical Area. We find the relationship between depression rates, climate risk factors and seasonality are varied and geographically localized. The same climate measure may have opposite association with depression rates at different places. Relative humidity, temperature, sea level pressure, precipitation, snowfall, weed speed, globe solar radiation, and length of day all contribute to the geographic variations of depression rates. A conceptual compact map is designed to visualize scattered geographic phenomena in a large area. We also propose a three-stage framework that semi-automatically detects and analyzes geographically distributed health issues using location-based social media data.     

A GIS-based approach to identify the spatial variability of social vulnerability to seismic hazard in Italy

This paper argues for a multidisciplinary framework to assess the relationship between environmental processes and social sciences that can be adapted to any geographic location. This includes both physical (earthquake hazard) and human (social vulnerability) dimensions in the context of disaster risk reduction. Disasters varies drastically depending on the local context. Indeed, the probability of a natural disaster having more devastating effects in one place than in another depends on the local vulnerability components of the affected society (cultural, social and economic). Therefore, there is an important correlation between the potential risk and the social resistance and resilience of a specific place, thus the disaster response varies according to the social fabric. In this context, the evaluation of social vulnerability is a crucial point in order to understand the ability of a society (studied at individual, household or community level) to anticipate, cope with, resist and recover from the impact of natural disaster events. Within this framework, the paper discusses how it is possible to integrate social vulnerability into the seismic risk analysis in Italy. Specifically, socioeconomic indicators were used to assess and mapping social vulnerability index. Afterwards, a Geographic Information System (GIS) approach was applied to identify the spatial variability of social vulnerability to seismic hazard. Through the use of a risk matrix, the classes of a social vulnerability index map were combined with those of a seismic hazard map proposed by INGV (National Institute of Geophysics and Volcanology). Finally, a qualitative social vulnerability exposure map to an earthquake hazard was produced, highlighting areas with high seismic and social vulnerability levels. Results suggest the importance of the integration of social vulnerability studies into seismic risk mitigation policies, emergency management and territorial planning to reduce the impact of disasters.     

Quantity Does Not Always Mean Quality: The Importance of Qualitative Social Science in Conservation Research

Qualitative methods are important to gain a deep understanding of complex problems and poorly researched areas. They can be particularly useful to help explain underlying conservation problems. However, the significance in choosing and justifying appropriate methodological frameworks in conservation studies should be given more attention to ensure data are collected and analysed appropriately. We explain when, why, and how qualitative methods should be used and explain sampling strategies in qualitative studies. To improve familiarity with qualitative methods among natural scientists, we recommend expanding training in social sciences and increasing collaboration with social scientists. Given the scale of human impacts on the environment, this type of nuanced analytical skill is critical for progressing biodiversity conservation efforts.     

Mixed methods participatory GIS: An evaluation of the validity of qualitative and quantitative mapping methods

Participatory mapping in social research is characterized by methodological pluralism, with two common methods being qualitative mapping using stakeholder interviews and quantitative methods that engage larger public samples through digital, internet mapping. To date, there has been no systematic evaluation of the extent to which mixed methods in participatory mapping yield valid results when applied to the same research setting and research questions. A mixed methods research design (combined exploratory sequential and convergent parallel) was implemented in a large research project to identify marine and coastal values in the Kimberley region of Australia. Qualitative interviews (n = 167) were completed with stakeholders to identify place-based values using polygon mapping methods and internet-based public participation GIS (PPGIS) methods (n = 578). We defined and operationalized the concepts of concurrent, commensurate, and convergent validity to assess mixed methods research outcomes. We found that qualitative and quantitative methods resulted in moderate to high concurrent validity when assessing the importance of place values in the study area. Convergent validity (spatial) was highly variable by place value, with stronger convergent validity found with mapped aesthetic, recreational fishing, tourism, biodiversity, and Aboriginal culture values, and weakest with existence, therapeutic, and commercial fishing values. Convergent validity was influenced by weak commensurate validity through the use of different geometric features (polygons versus points) for mapping values across a large study area. The utility of mixed methods for planning decision support in a convergent parallel design depends on demonstrating convergence in construct meaning, spatial location, and consistency in values in the sampling populations.     

地理空间元数据关联网络的构建

利用资源描述框架（RDF）设计地理空间元数据关联模型,根据地理空间元数据之间的语义关系和语义相关度的计算,以构建以元数据为节点、元数据之间的语义关系为边、语义相关度为权重的关联网络。在这一网络中,一个节点是一个地理空间元数据的资源描述图,包含属性特征（数据来源、空间特征、时间特征、内容）及其关系特征（元数据之间的语义关系、语义相关度）。实验及其分析表明,地理空间元数据关联网络可以有效地支持地理空间数据语义关联检索、推荐等应用,这与传统的基于关键词的元数据检索方式相比,具有更高的准确度。     

Named entity recognition goes to old regime France: geographic text analysis for early modern French corpora

ABSTRACT

Geographic text analysis (GTA) research in the digital humanities has focused on projects analyzing modern English-language corpora. These projects depend on temporally specific lexicons and gazetteers that enable place name identification and georesolution. Scholars working on the early modern period (1400–1800) lack temporally appropriate geoparsers and gazetteers and have been reliant on general purpose linked open data services like Geonames. These anachronistic resources introduce significant information retrieval and ethical challenges for early modernists. Using the geography entries of the canonical eighteenth-century Encyclopédie, we evaluate rule-based named entity recognition (NER) systems to pinpoint areas where they would benefit from adjustments for processing historical corpora. As we demonstrate, annotating nested and extended place information is one way to improve early modern GTA. Working with Enlightenment sources also motivates a critique of the landscape of digital geospatial data.     

本土产业发展视角下的乡村地方性重构——基于阳美玉器产业的文化经济地理分析

以广东揭阳的玉器生产专业村阳美村为例,从文化经济地理学视角解读本土产业发展中地方性的嵌入与重构。研究发现：本土产业在地方性多方要素的驱动与支撑下产生,在多重尺度政治经济过程作用与地方主体的响应下发展。地方性是本土产业产生并建立对外功能联系的初始条件,也是主体响应结构变动所做战略选择和地方营销的依托。在地方性嵌入产业发展的同时,生产、生活和宗教等地方活动被强化了与玉器生产相关的功能和意义,民居、街巷、宗祠等空间形制因传统功能被挤压而出现重塑。地方活动与景观的变化并未弱化地方意义,村民的地方依赖和依恋因本土产业提供了更好的发展机会与荣誉感而增强。     

定性地理信息系统在城市社会空间研究中的应用

定性地理信息系统(定性GIS)是西方人文地理学定性研究的重要方法。它集成了定性和空间元素,更全面地阐明空间背景是如何被社会建构的。这种多元要素的整合,可以表达人们生活空间的多样性和复杂性,有助于展示生活路径的三维可视化细节,实现可视化社会空间过程。本文试图梳理西方定性GIS的方法论并探讨其在基于情感表达的个体数据采集分析、基于混合方法的可视化活动空间研究以及基于多重互动视角的社会空间研究中的应用。定性GIS包含微观和宏观层面的多重含义,使得研究者可以从多个有利位置观察问题并参与其中,有助于城市社会空间研究理论创新,为社会空间研究提供可探索空间。最后,从学科建设、方法论拓展、研究成果表达和研究议题选择等方面对中国开展同类研究进行展望。     

基于PPGIS的乡村旅游社区景观价值变化研究——以丽江束河古镇为例

景观价值是人对环境的主观感知和效用评价,景观价值变化的研究能够帮助理解旅游社区的社会现象.以丽江束河古镇为例,采用参与式制图与半结构化访谈方法调查当地居民对旅游开发前后的感知景观价值,最终获取的有效问卷与填图为293份,提取空间数据点658个.通过对访谈结果进行编码和归纳得到旅游开发前后各7种景观价值类型.采用质性分析...     

A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements

Local place names are frequently used by residents living in a geographic region. Such place names may not be recorded in existing gazetteers, due to their vernacular nature, relative insignificance to a gazetteer covering a large area (e.g. the entire world), recent establishment (e.g. the name of a newly-opened shopping center) or other reasons. While not always recorded, local place names play important roles in many applications, from supporting public participation in urban planning to locating victims in disaster response. In this paper, we propose a computational framework for harvesting local place names from geotagged housing advertisements. We make use of those advertisements posted on local-oriented websites, such as Craigslist, where local place names are often mentioned. The proposed framework consists of two stages: natural language processing (NLP) and geospatial clustering. The NLP stage examines the textual content of housing advertisements and extracts place name candidates. The geospatial stage focuses on the coordinates associated with the extracted place name candidates and performs multiscale geospatial clustering to filter out the non-place names. We evaluate our framework by comparing its performance with those of six baselines. We also compare our result with four existing gazetteers to demonstrate the not-yet-recorded local place names discovered by our framework.     

The crime kaleidoscope: A cross-jurisdictional analysis of place features and crime in three urban environments

Research identifies various place features (e.g., bars, schools, public transportation stops) that generate or attract crime. What is less clear is how the spatial influence of these place features compares across relatively similar environments, even for the same crime. In this study, risk terrain modeling (RTM), a geospatial crime forecasting and diagnostic tool, is utilized to identify place features that increase the risk of robbery and their particular spatial influence in Chicago, Illinois; Newark, New Jersey; and Kansas City, Missouri. The results show that the risk factors for robbery are similar between environments, but not necessarily identical. Further, some factors were riskier for robbery and affected their surrounding landscape in different ways that others. Consistent with crime pattern theory, the results suggest that the broader organization of the environmental backcloth affects how constituent place features relate to and influence crime. Implications are discussed with regard to research and practice.     

地理空间数据本质特征语义相关度计算模型

关联数据是跨网域整合多源异构地理空间数据的有效方式,语义丰富的关联是准确、快速发现目标数据的关键。根据地理空间数据在空间、时间、内容上的语义关系,提出地理空间数据本质特征语义相关度计算模型。通过构建本质特征的关联指标体系,分层次逐级计算地理空间数据的语义相关度。与传统的语义相关度计算方式不同,以地理元数据为语料库,充分考虑地理空间数据的特点及空间、时间、内容在检索中不同的重要程度,分别采用几何运算、数值运算、词语语义相似度计算和类别层次相关度计算的方式,构建地理空间数据的语义相关度计算模型。该模型具有构建简单、适用于多源异构数据、充分结合了数学运算和专家经验知识等特点。实验表明：模型能够有效地计算地理空间数据本质特征的语义相关度,并具备一定的扩展性。