Social and Behavioral Sciences Commons^™

Gi Science, Not Giscience, Andreas Christoffer Hall

Journal of Spatial Information Science

Letter to editors

Spatial Mathematics: Theory And Practice Through Mapping By Sandra Lach Arlinghaus And Joseph J. Kerski, Azadeh Mousavi

Journal of Spatial Information Science

Book review

Similarity Of Trajectories Taking Into Account Geographic Context, Maike Buchin, Somayeh Dodge, Bettina Speckmann

Journal of Spatial Information Science

The movements of animals, people, and vehicles are embedded in a geographic context. This context influences the movement and may cause the formation of certain behavioral responses. Thus, it is essential to include context parameters in the study of movement and the development of movement pattern analytics. Advances in sensor technologies and positioning devices provide valuable data not only of moving agents but also of the circumstances embedding the movement in space and time. Developing knowledge discovery methods to investigate the relation between movement and its surrounding context is a major challenge in movement analysis today. In this paper we …

Geocoding Location Expressions In Twitter Messages: A Preference Learning Method, Wei Zhang, Judith Gelernter

Journal of Spatial Information Science

Resolving location expressions in text to the correct physical location, also known as geocoding or grounding, is complicated by the fact that so many places around the world share the same name. Correct resolution is made even more difficult when there is little context to determine which place is intended, as in a 140-character Twitter message, or when location cues from different sources conflict, as may be the case among different metadata fields of a Twitter message. We used supervised machine learning to weigh the different fields of the Twitter message and the features of a world gazetteer to create …

Road Network Selection For Small-Scale Maps Using An Improved Centrality-Based Algorithm, Roy Weiss, Robert Weibel

Journal of Spatial Information Science

The road network is one of the key feature classes in topographic maps and databases. In the task of deriving road networks for products at smaller scales, road network selection forms a prerequisite for all other generalization operators, and is thus a fundamental operation in the overall process of topographic map and database production. The objective of this work was to develop an algorithm for automated road network selection from a large-scale (1:10,000) to a small-scale database (1:200,000). The project was pursued in collaboration with swisstopo, the national mapping agency of Switzerland, with generic mapping requirements in mind. Preliminary experiments …

Twitter Location (Sometimes) Matters: Exploring The Relationship Between Georeferenced Tweet Content And Nearby Feature Classes, Stefan Hahmann, Ross S. Purves, Dirk Burghardt

Journal of Spatial Information Science

In this paper, we investigate whether microblogging texts (tweets) produced on mobile devices are related to the geographical locations where they were posted. For this purpose, we correlate tweet topics to areas. In doing so, classified points of interest from OpenStreetMap serve as validation points. We adopted the classification and geolocation of these points to correlate with tweet content by means of manual, supervised, and unsupervised machine learning approaches. Evaluation showed the manual classification approach to be highest quality, followed by the supervised method, and that the unsupervised classification was of low quality. We found that the degree to which …

High-Resolution Digital 3d Models Of Algar Do Penico Chamber: Limitations, Challenges, And Potential, Ivo Silvestre M.Sc., José I. Rodrigues Phd, Mauro Figueiredo Phd, Cristina Veiga-Pires Phd

International Journal of Speleology

The study of karst and its geomorphological structures is important for understanding the relationships between hydrology and climate over geological time. In that context, we conducted a terrestrial laser-scan survey to map geomorphological structures in the karst cave of Algar do Penico in southern Portugal. The point cloud data set obtained was used to generate 3D meshes with different levels of detail, allowing the limitations of mapping capabilities to be explored.

In addition to cave mapping, the study focuses on 3D-mesh analysis, including the development of two algorithms for determination of stalactite extremities and contour lines, and on the interactive …

Sustainability Planning, Environmental Justice And Climate Change: Applications Of The Long Island Markal Model, David S. Friedman, Yehuda Klein, Jose Pillich, Michael T. Sullivan

Suburban Sustainability

As pointed out by many authors, sustainability is often vague and amorphous (See, for example, Dovers, 1989; Faber, et al, 2005; Glavič, et al. 2007). There is a clear need to make analytical and data-driven analyses of established and or proposed plans. MARKAL (MARKet ALlocation model) is an analytical tool that can be used characterize the impacts of sustainability plans at multiple spatial scales: global, national, regional, and local. In this study we apply the Long Island MARKAL model to answer three interrelated issues: 1, the development and incremental improvement of local and regional sustainability plans; 2, the impact of …

Grid: A Methodology Integrating Witness Testimony And Satellite Imagery Analysis For Documenting Alleged Mass Atrocities, Brittany L. Card, Isaac L. Baker

Genocide Studies and Prevention: An International Journal

Aim: This article documents the development and initial use case of the GRID (Ground Reporting through Imagery Delivery) methodology by the Harvard Humanitarian Initiative (HHI). GRID was created to support corroboration of witness testimony of mass atrocity related-events using satellite imagery analysis. A repeating analytic limitation of employing imagery for this purpose is that differences in the geographic knowledge of a witness and an imagery analyst can limit or impede corroboration.

Methods: The primary method used in this article is a case study of HHI’s development and use of GRID. The GRID methodology was designed during HHI’s work with the …

No More Hidden Secrets: Human Rights Violations And Remote Sensing, Tommy O'Connell, Stephen Young

Genocide Studies and Prevention: An International Journal

Aim: This study used both high resolution and medium resolution satellite imagery to test three semi-automated remote sensing methods, in an attempt to identify useful tools to support eye-witness testimony and reports on human rights violations. As huts are routinely burned down during attacks on a village, particularly in Sudan, the number of huts and villages burned can be used to corroborate on-the-ground reports.

Methods: Three remote sensing methods (Supervised Classification, Change Detection, and Feature Extraction) were performed on imagery from both before the attacks in February 2006 and after the attacks to examine any useful trends that could be …

A New Forensics: Developing Standard Remote Sensing Methodologies To Detect And Document Mass Atrocities, Nathaniel A. Raymond, Brittany L. Card, Isaac L. Baker

Genocide Studies and Prevention: An International Journal

Aim: The aim of this article is to highlight potential methods applicable to a standard forensic approach for the analysis of high-resolution satellite imagery that may contain evidence of alleged mass atrocities.

Methods: The primary method employed is the retrospective analysis of a case study involving the use of high-resolution satellite imagery analysis to document alleged mass atrocities. The case study utilized herein is the Satellite Sentinel Project’s reporting on the May 2011 sacking of Abyei Town by Government of Sudan-aligned armed actors. In the brief case study, categories of objects, patterns of activities, and types of alleged mass atrocity …

Poverty In The Twin Cities Using Gis Studying, Je Moua

Journal of Undergraduate Research at Minnesota State University, Mankato

Geographic Information Systems (GIS) allow easy comparison of spatial phenomenon with other variables and output the results onto maps which non-specialist audience can easily interpret and analyze. This study made an effort to understand the spatial distribution of poverty within the Twin Cities Metro Area. Poverty distribution is compared with but not limited to the selected variables such as education level, education funding, family size, family composition, infrastructure distribution, and illicit drugs. The Census 2000 family income variables have been analyzed and mapped using GIS. According to federal guidelines in 2000, the poverty threshold for a family of three was …

Measuring Spatial Health Disparity Using A Network-Based Accessibility Index Method In A Gis Environment: A Case Study Of Hillsborough County, Florida, Huairen Ye, Hyun Kim

International Journal of Geospatial and Environmental Research

In recent decades, the health care delivery system in the United States has been greatly transformed and more widely examined. Even with one of the most developed health care systems in the world, the United States still experiences great spatial disparity in health care access. Increasing diversity of class, culture, and ethnicity also has a significant impact on health disparity. The goal of this paper is to address the spatial disparity of health care access using a network-based health accessibility index method (NHAIM) in a Geographic Information System (GIS) environment. Ensuring a desired level of accessibility for patients is the …

Rockfall Detection From Terrestrial Lidar Point Clouds: A Clustering Approach Using R, Marj Tonini, Antonio Abellan

Journal of Spatial Information Science

In this study we analyzed a series of terrestrial LiDAR point clouds acquired over a cliff in Puigcercos (Catalonia Spain). The objective was to detect and extract individual rockfall events that occurred during a time span of six months and to investigate their spatial distribution. To this end local and global cluster algorithms were applied. First we used the nearest neighbor clutter removal (NNCR) method in combination with the expectation-maximization (EM) algorithm to separate feature points from clutter; then a density based algorithm (DBSCAN) allowed us to isolate the single cluster features which represented the rockfall events. Finally we estimated …

Dissemination And Geovisualization Of Territorial Entities' History, Christine Plumejeaud, Eric Grosso, Benjamin Parent

Journal of Spatial Information Science

This paper describes an innovative solution for geovisualization of the demographic and administrative history of French municipalities named "communes" in French. This solution allows for the open dissemination of such data. The challenge is to provide a web interface for unskilled users in order to help them understand complex information about the demographic evolution of French territories. Our approach combines interactive thematic spatial and temporal views. We describe our architecture based on open-source technologies and the organization of this imperfect geo-historical information in our spatiotemporal database. Our second contribution concerns the concept of an acquaintance graph that has been used …

The Open Source Dynamics In Geospatial Research And Education, Olivier Ertz, Sergio J. Rey, Stéphane Joost

Journal of Spatial Information Science

No abstract provided.

Geo-Social Visual Analytics, Wei Luo, Alan M. Maceachren

Journal of Spatial Information Science

Spatial analysis and social network analysis typically consider social processes in their own specific contexts either geographical or network space. Both approaches demonstrate strong conceptual overlaps. For example actors close to each other tend to have greater similarity than those far apart; this phenomenon has different labels in geography (spatial autocorrelation) and in network science (homophily). In spite of those conceptual and observed overlaps the integration of geography and social network context has not received the attention needed in order to develop a comprehensive understanding of their interaction or their impact on outcomes of interest such as population health behaviors …

Integrating Cross-Scale Analysis In The Spatial And Temporal Domains For Classification Of Behavioral Movement, Ali Soleymani, Jonathan Cachat, Kyle Robinson, Somayeh Dodge, Allan Kalueff, Robert Weibel

Journal of Spatial Information Science

Since various behavioral movement patterns are likely to be valid within different unique ranges of spatial and temporal scales (e.g. instantaneous diurnal or seasonal) with the corresponding spatial extents a cross-scale approach is needed for accurate classification of behaviors expressed in movement. Here we introduce a methodology for the characterization and classification of behavioral movement data that relies on computing and analyzing movement features jointly in both the spatial and temporal domains. The proposed methodology consists of three stages. In the first stage focusing on the spatial domain the underlying movement space is partitioned into several zonings that correspond to …