Using open‐ended geographic information system assessments to allow students to construct relevant geographies given the internationalisation of tertiary education in New Zealand

The geospatial skills shortage in New Zealand requires the development of more undergraduate geographic information system (GIS) courses. However, the internationalisation of New Zealand's tertiary education system has resulted in an increasingly diverse tertiary student population, which makes it challenging to teach GIS in a way that maximises relevance to all tertiary students. One approach to this challenge is to make use of the recent proliferation of openly available GIS data, and to internationalise GIS curricula by using open‐ended assessments that provide students with the opportunity to learn GIS by constructing their own geographies of relevance.     

Editorial

This paper addresses the problems associated with the integration of data between incongruent boundary systems. Currently, the majority of spatial boundaries are designed in an uncoordinated manner with individual organizations generating individual boundaries to meet individual needs. As a result, current technologies for analysing geospatial information, such as geographical information systems (GISs), are not reaching their full potential. In response to the problem of uncoordinated boundaries, the authors present an algorithm for the hierarchical structuring of administrative boundaries. This algorithm applies hierarchical spatial reasoning (HSR) theory to the automated structuring of polygons. In turn, these structured boundary systems facilitate accurate data integration and analysis whilst meeting the spatial requirements of selected agencies. The algorithm is presented in two parts. The first part outlines previous research undertaken by the authors into the delineation of administrative boundaries in metropolitan regions. The second part outlines the distinctly different constraints required for administrative-boundary design in rural areas. The development of the algorithm has taken place in a GIS environment utilizing Avenue, an object-orientated programming language that operates under ArcView, the desktop software developed and distributed by ESRI.     

Framework for probabilistic geospatial ontologies

Partial knowledge about geospatial categories is important for practical use of ontologies in the geospatial domain. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts, need to be specified in ontologies. Conventional geospatial ontologies do not enable specification of such information, and this presents difficulties in ontology reasoning for practical purposes. We present a framework to encode probabilistic information in geospatial ontologies based on the BayesOWL approach. The approach enables rich inferences such as most similar concepts within and across ontologies. This paper presents two case studies of using road‐network ontologies to demonstrate the framework for probabilistic geospatial ontologies. Besides inferences within the probabilistic ontologies, we discuss inferences about most similar concepts across ontologies based on the assumption that geospatial action concepts are invariable. The results of such machine‐based mappings of most similar concepts are verified with mappings of concepts extracted from human subjects testing. The practical uses of probabilistic geospatial ontologies for concept matching and measuring naming heterogeneities between two ontologies are discussed. Based on our experiments, we propose such a framework for probabilistic geospatial ontologies as an advancement of the proposal to develop semantic reference systems.     

基于EMD的空间信息剖分一体化编目模型研究

针对目前空间信息编目多样、缺乏全球统一编目体系的现状,借鉴地理空间信息分类框架,结合地图分幅拓展球面剖分理论,提出了基于EMD的空间信息剖分一体化编目模型.在此基础上,设计了统一剖分编目中间件,搭建了全球空间信息统一剖分编目数据的管理框架.基于EMD的空间信息剖分一体化编目模型为实现空间数据的全球化、层次化和规范化管理奠定了理论基础.     

An active crawler for discovering geospatial Web services and their distribution pattern – A case study of OGC Web Map Service

The increased popularity of standards for geospatial interoperability has led to an increasing number of geospatial Web services (GWSs), such as Web Map Services (WMSs), becoming publicly available on the Internet. However, finding the services in a quick and precise fashion is still a challenge. Traditional methods collect the services through centralized registries, where services can be manually registered. But the metadata of the registered services cannot be updated timely. This paper addresses the above challenges by developing an effective crawler to discover and update the services in (1) proposing an accumulated term frequency (ATF)–based conditional probability model for prioritized crawling, (2) utilizing concurrent multi-threading technique, and (3) adopting an automatic mechanism to update the metadata of identified services. Experiments show that the proposed crawler achieves good performance in both crawling efficiency and results' coverage/liveliness. In addition, an interesting finding regarding the distribution pattern of WMSs is discussed. We expect this research to contribute to automatic GWS discovery over the large-scale and dynamic World Wide Web and the promotion of operational interoperable distributed geospatial services.     

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。     

Back to the Basics: Birmingham,Alabama, Measurement and Scale

Abstract

Back to the Basics: Birmingham, Alabama is the fourth in a series of workshops that focus on teaching foundational map reading and spatial differentiation skills. It is the second published exercise from the Back to the Basics series developed by the Wetland Education through Maps and Aerial Photography (WETMAAP) Program (see Journal of Geography 103, 5: 226-230). Like its predecessor, the current exercise is modified from the Birmingham Back to the Basics workshop offered during the annual National Council for Geographic Education meeting. The focus of this exercise is on scale and measurement, foundational skills for spatial thinking and analysis.     

地学数据特征分析

地理信息系统的广泛应用使地学数据的使用大为扩展,但关于地学数据的一些基本认识,如地学数据概念,地学数据的基本特征等并没有达成共识,在分析地学数据概念和来源的基础上,对地学数据的基本特征,如多尺度特征,分布式特征,空间拓扑特征等进行了详细的说明。     

Geospatial Thinking and Spatial Ability: An Empirical Examination of Knowledge and Reasoning in Geographical Science

This study examined the relationships between geospatial thinking and spatial ability, focusing on knowledge and reasoning about fundamental concepts in geospatial science. Scores on a geospatial thinking test had low correlations with each other, compared to high correlations among scores on spatial ability tests, and the degrees of relationship between geospatial thinking and spatial ability depended on the type of geospatial thinking. Expert geospatial scientists did not outperform students on spatial ability tests, suggesting that expertise in geospatial science might not simply be explained by superiority in spatial ability. The results point to the necessity of targeted instruction for geospatial learning.     

NEW APPROACHES TO DELINEATING METROPOLITAN AND NONMETROPOLITAN SETTLEMENT: GEOGRAPHERS DRAWING THE LINE

The federal government's Office of Management and Budget, with staff support from the Census Bureau's Population Division, is responsible for maintaining the statistical standard that provides criteria used to define metropolitan settlement and that delineates individual metropolitan areas for use in federal statistics. Review of the current standard, which dates from 1990, is now under way in conjunction with the 2000 census. Reviews of the emergence of the metropolitan form of settlement in the United States and of previous geospatial units representing metropolitan settlement are provided. A framework of geospatial units to represent the various elements of settlement at the close of the 20th century, including metropolitan and nonmetropolitan forms, is offered. Three papers that provide new approaches to delineating metropolitan and nonmetropolitan settlement in the United States are introduced. [Keywords: metropolitan and nonmetropolitan settlement, geospatial units of analysis, federal government, statistics.]     

空间数据立方体的多维数据组织及存储

定义空间数据立方体地理空间维、专题维和时间维分别包含的数据种类和内容;设计它们的维和维层次数据结构;表述地理空间维、专题维和时间维在概念层次和物理层次上构成空间数据立方体的方法;确定地理空间维、专题维和时间维数据的多维数组组织方法,以及多维数据的数据文件和虚拟内存存储策略;表达多维数组中记录间的关联运算和多维数组的压缩方法。     

Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks

ABSTRACT

The investigation of human activity patterns from location-based social networks like Twitter is an established approach of how to infer relationships and latent information that characterize urban structures. Researchers from various disciplines have performed geospatial analysis on social media data despite the data’s high dimensionality, complexity and heterogeneity. However, user-generated datasets are of multi-scale nature, which results in limited applicability of commonly known geospatial analysis methods. Therefore in this paper, we propose a geographic, hierarchical self-organizing map (Geo-H-SOM) to analyze geospatial, temporal and semantic characteristics of georeferenced tweets. The results of our method, which we validate in a case study, demonstrate the ability to explore, abstract and cluster high-dimensional geospatial and semantic information from crowdsourced data.     

Skills in Professional Geography: An Assessment of Workforce Needs and Expectations

This study compares the skills of professional geographers and the needs of employer organizations across major sectors of the U.S. workforce. Following a series of focus groups, two surveys were developed to explore: (1) the extent to which specific skills were performed by geographers in different professional positions, and (2) the value of and anticipated demand for those skills from the perspective of employers. Overall, respondents in the focus groups and both surveys emphasized the need for general skills ranging from time management and writing ability to information management and computer literacy. Employers also cited many geographic skills as being vital for enhancing the work of professionals in all types of organizations. Competency in field methods, the ability to work across disciplinary boundaries, and spatial thinking were three skill areas that characterized the work of geographic professionals irrespective of specialty.     

Building the distributed geographic SQL workflow in the Grid environment

Over recent years, massive geospatial information has been produced at a prodigious rate, and is usually geographically distributed across the Internet. Grid computing, as a recent development in the landscape of distributed computing, is deemed as a good solution for distributed geospatial data management and manipulation. Thus, the Grid computing technology can be applied to integrate various distributed resources into a ‘super-computer’ that enables efficient distributed geospatial query processing. In order to realize this vision, an effective mechanism for building the distributed geospatial query workflow in the Grid environment needs to be elaborately designed. The workflow-building technology aims to automatically transform the global geospatial query into an equivalent distributed query process in the Grid. In response to this goal, detailed steps and algorithms for building the distributed geospatial query workflow in the Grid environment are discussed in this article. Moreover, we develop corresponding software tools that enable Grid-based geospatial queries to be run against multiple data resources. Experimental results demonstrate that the proposed methodology is feasible and correct.     

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.     

Geographical Notes

Abstract

This article describes the benefits of combining field-based learning within the context of a competitive setting in the geography curriculum. Findings and data are presented based on experiences gathered from teaching an upper-level university geography course that combined geographic techniques and theory into a game of capture-the-flag. Students analyzed a variety of geospatial data sources, using ArcMap Geographic Information System software, to prepare a series of maps for the game. Students reported a first-time understanding of many geographic skills that were previously ambiguous to them when the material was presented in a different format, such as lectures and labs.     

旅游产业集群形成条件与识别方法

根据"产业集聚"和"产业联系"两个识别旅游集群存在的标准,结合旅游业的特点,从旅游资源空间集聚条件、旅游要素集中度和集聚效果3个方面构造区位熵指数,再根据投入产出表,用主成份分析法,确定旅游产业联系,计算产业联系密度,最后结合区位熵指数和产业联系密度,得出旅游产业集群度,同时分析旅游产业集群的形成条件,有利于制定政策引导促进旅游产业发展.     

基于GML的航空地理数据建模

航空情报资料是空中交通地理活动所必需或所产生的航空地理数据,在信息化管理过程中面临着多源异构数据的集中管理、统一维护和分布使用等需求。GML作为开放的空间数据模型标准,为航空地理数据的交换和共享提供了要素编码方法和数据交换规范。针对航空信息化系统建设中对规范的航空地理数据的应用需求,在研究航空地理数据特点的基础上,通过分析航空地理数据与GML模型之间的映射关系,以航线管理系统中基础航空情报数据库的建设为例,基于GML规范设计了航空地理数据模型,阐明了数据处理流程,为建立标准化的航空信息数据仓库进行了有益的尝试。