Extending Moran's Index for Measuring Spatiotemporal Clustering of Geographic Events

Moran's Index for spatial autocorrelation and localized index for spatial association have been widely applied in many research fields as the first step to explore and assess the spatial dependency in a set of geographic events. This article presents extensions to the equations for calculating global and localized spatial autocorrelation so to include the temporal attribute values of the geographic events being analyzed. The extended equations were successfully implemented and tested with a real world data set. In addition, simulated data sets were used to reveal how the extended equations performed. Beyond the usefulness of the extended equations, we suggest that care be taken with regard to assessing spatiotemporal patterns under the normality and randomization assumptions as different outcomes from different assumptions would require different approaches for interpretation.     

Statistical Perspectives on Geographic Information Science

Statistical geometry applies probabilistic methods to geometric forms. In the early days of the quantitative revolution statistical geometry appeared to provide a useful framework for geographic research, but its value appeared to decline in the 1970s and 1980s. Geographic information science (GIScience) addresses the fundamental issues underlying the geographic information technologies, and statistical geometry has proven valuable in a number of respects. Several classical results from statistical geometry are useful in the design of geographic information systems, and in understanding and modeling uncertainty in geographic information, and several statistical principles are observed to be generally applicable to geographic information. Modeling uncertainty in area-class maps has proven particularly difficult, and seven possible models are discussed. Statistical geometry provides an important link between the early work of the quantitative revolution in geography and modern research in GIScience.     

A Statistical Method for Analyzing the Relative Location of Points in a Bounded Region

This paper develops a statistical method for analyzing the relative location of points in a bounded region. The location of points in relation to the center of the region in which they are located is discussed. Four spatial objects called reference objects are defined to represent the relative location: (1) the boundary, (2) skeleton, (3) nucleus, and (4) global center. The distribution of distance between points and a reference object yields a cumulative distribution function (CDF). Comparison of CDFs for a reference object allows us to analyze whether the points tend to be located close to the reference object or, for instance, whether the points are clustered around the center of the region. The significance of the CDF is statistically tested by Monte Carlo simulation. The method proposed is applied to the distribution of restaurants in retail clusters.     

Geographic Information Science as a Method of Integrating History and Archaeology for Battlefield Interpretation

Abstract

Geographic Information Science (GIS) and technology can be used to integrate history and archaeology for synthesis and interpretation. This study applies Geographic Information Science and technology to reconstruct the events related to a patrol from G Company, 2nd Battalion, 328th Infantry Regiment of the American Expeditionary Forces on October 8 1918 outside the village of Châtel Chéhéry, France that resulted in the award of the Medal of Honor to Alvin C. York. Evidence from documentary records, historic maps, and artefacts from a metal detector survey were incorporated in a spatial database. Spatial analysis of the database using GIS provided a more complete picture of events than either history or archaeology individually.     

A Geographic Network Automata Approach for Modeling Dynamic Ecological Systems

Landscape connectivity networks are composed of nodes representing georeferenced habitat patches that link together based on a species’ maximum dispersal distance. These static representations cannot capture the complexity in species dispersal where the network of habitat patch nodes changes structure over time as a function of local dispersal dynamics. Therefore, the objective of this study is to integrate geographic information, complexity, and network science to propose a novel Geographic Network Automata (GNA) modeling approach for the simulation of dynamic spatial ecological networks. The proposed GNA modeling approach is applied to the emerald ash borer (EAB) forest insect infestation using geospatial data sets from Michigan, U.S.A. and simulates the evolution of the EAB spatiotemporal dispersal network structures across a large regional scale. The GNA model calibration and sensitivity analysis are performed. The simulated spatial network structures are quantified using graph theory measures. Results indicate that the spatial distribution of habitat patch nodes across the landscape in combination with EAB dispersal processes generate a highly connected small-world dispersal network that is robust to node removal. The presented GNA model framework is general and flexible so that different types of geospatial phenomena can be modeled, providing valuable insights for management and decision-making.     

A Statistical Method for Analyzing the Spatial Relationship between the Distribution of Activity Points and the Distribution of Activity Continuously Distributed over a Region

This paper shows a statistical method for analyzing the spatial relationship between the distributions of two different kinds of activity in a region. One kind of activity is discretely distributed as points in a region (such as the distribution of retail stores), and the other kind of activity is continuously distributed over the region (such as the distribution of population). First, three models representing the relationship between the above two distributions are formulated. Second, statistical methods for fitting these models to data are developed and the measures of fitness are proposed. Third, using these measures, the relationship between the distributions of thirty-seven kinds of retail stores and the distribution of population is examined in a suburb of Osaka in Japan.     

A Note on the Geographic Interdependencies of Retail Market Areas

Central place theory describes an orderly hierarchy of places, with particular retail services developing for lower-ordered places as they reach a threshold. Yet it is likely that nearby areas could serve simultaneously as a source of demand and a source of competing supply for retail stores in a place. This paper contributes to the understanding of local economic development by modeling and estimating the geographic interdependence between a place and its neighboring areas. The simultaneous equation Tobit results suggest that such geographical interdependence exists for most retail industries, with spatial competition on the supply side being particularly important.     

地理信息护航丝路申遗

<正>丝绸之路是重要的线性遗产,其文化发展与地理空间位置分布息息相关。因此,国信司南(北京)地理信息技术有限公司凭借对文物行业的深刻了解、发挥地理信息技术的专业优势,作为丝绸之路申遗的重要技术支持单位,承担了丝绸之路申遗图件所涉及的数据处理、图件编制、地图审核、对外提供等系列工作。丝绸之路申遗路线之长、遗址范围之广,在     

Problems in the Building of Mathematical Models for Geographic Systems

Some basic concepts and principles of general systems theory applicable to geographical systems are formulated. A geosystem is viewed from the point of view of the controllable processes that convert it from one state to another and insure its self-regulation and stability. Since geographical systems derive energy from the surrounding environment and use it for their physical-chemical and biological functions, the structural elements of such systems behave thermodynamically like automata performing irreversible processes, and the laws of thermodynamics can therefore be applied to the functioning of such systems. A mathematical apparatus is demonstrated for the study migratory flows of mass and energy in geographical systems.     

Tests for Patterns in Geographic Variation

We develop tests of whether a pattern of geographic variation departs significantly from random variation over an area. Localities are vertices in a graph whose edges are connections based on criteria of geographic contiguity. Ranked variables are assigned to each locality. Distributions of absolute differences in rank along edges between vertices yield various statistics of edge length that are compared with expectations developed in the paper. Several typical patterns such as a cline, depression, or a crazy-quilt are generated and their behavior characterized by this method. Computational and graphical methods allocate observed patterns to one of several types. The methods are general; three illustrative examples from biology and one from regional studies are furnished.     

The Service Sector in the Chinese Economy: A Geographic Appraisal

A U.S.-based economic geographer and observer of China's economy examines the rapid expansion of the country's largely overlooked service sector, at both the national and regional levels. A particular focus of the author's research is on identifying regional variations in the development of services within the country and exploring some of the more important contributing factors. Based on the findings, the paper also discusses structural shifts that occurred in China's regional economies, disclosing inter alia that inequality in the contribution of services to GDP did not follow the same trajectory as that of employment in services. Journal of Economic Literature, Classification Numbers: L800, O180, P230. 6 figures, 4 tables, 82 references.     

近两年清史地理研究点评

近两年,历史地理学取得了丰硕的成果,而在清史地理研究领域的学术进步也令人欣喜."清史地理"是笔者提出的概念,它是研究有清一代各种地理状况的专门学问,应包括两方面内容:一是断代地理研究,指历史地理学研究清代的部分;二是指历史地理研究牵涉到清朝的内容.前者是清史地理的核心内容,后者也是必不可少的组成部分.近两年之内,清史地理领域出版专著近十部、专题论文七八十篇,在历史地理学五大板块的历史人文地理、历史自然地理、历史地理文献三个方面都有显著成绩,在学术研究的古为今用方面也有所建树.