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Social and Behavioral Sciences Commons™
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- Keyword
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- Navigation (7)
- GIS (5)
- Geovisualization (5)
- OpenStreetMap (5)
- Uncertainty (5)
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- Big data (4)
- Data mining (4)
- Machine learning (4)
- Ontology (4)
- Spatial analysis (4)
- Spatial information (4)
- Trajectories (4)
- Visual analytics (4)
- Wayfinding (4)
- Clutter (3)
- Computational geometry (3)
- Context (3)
- Data quality (3)
- Euler circles (3)
- Geographic information retrieval (3)
- Granularity (3)
- Landmarks (3)
- Linear diagrams (3)
- Map generalization (3)
- OSM (3)
- Place (3)
- Region based diagrams (3)
- SDI (3)
- Set theory (3)
- Spatial big data (3)
Articles 91 - 120 of 144
Full-Text Articles in Social and Behavioral Sciences
Similarity Of Trajectories Taking Into Account Geographic Context, Maike Buchin, Somayeh Dodge, Bettina Speckmann
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
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
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
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 …
Rockfall Detection From Terrestrial Lidar Point Clouds: A Clustering Approach Using R, Marj Tonini, Antonio Abellan
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
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
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
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
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 …
Synthesizing Population, Health, And Place, Martin Raubal, Geoffrey Jacquez, John Wilson, Werner Kuhn
Synthesizing Population, Health, And Place, Martin Raubal, Geoffrey Jacquez, John Wilson, Werner Kuhn
Journal of Spatial Information Science
No abstract provided.
An Interactive Bibliography On Temporal Gis, Willington Siabato, Christophe Claramunt, Miguel Ángel Bernabé-Poveda
An Interactive Bibliography On Temporal Gis, Willington Siabato, Christophe Claramunt, Miguel Ángel Bernabé-Poveda
Journal of Spatial Information Science
No abstract provided.
Formalizing Spatiotemporal Knowledge In Remote Sensing Applications To Improve Image Interpretation, Christelle Pierkot, Samuel Andrés, Jean François Faure, Frédérique Seyler
Formalizing Spatiotemporal Knowledge In Remote Sensing Applications To Improve Image Interpretation, Christelle Pierkot, Samuel Andrés, Jean François Faure, Frédérique Seyler
Journal of Spatial Information Science
Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatiotemporal phenomena in a range of disciplines such as urban planning environmental sciences and health care. Thus remote-sensing experts must handle various and complex image sets for their interpretations. The GIS community has undertaken significant work in describing spatiotemporal features and standard specifications nowadays provide design foundations for GIS software and spatial databases. We argue that this spatiotemporal knowledge and expertise would provide invaluable support for the field of image interpretation. As a result we propose a high level conceptual framework …
Multi-Scale Window Specification Over Streaming Trajectories, Kostas Patroumpas
Multi-Scale Window Specification Over Streaming Trajectories, Kostas Patroumpas
Journal of Spatial Information Science
Enormous amounts of positional information are collected by monitoring applications in domains such as fleet management cargo transport wildlife protection etc. With the advent of modern location-based services processing such data mostly focuses on providing real-time response to a variety of user requests in continuous and scalable fashion. An important class of such queries concerns evolving trajectories that continuously trace the streaming locations of moving objects like GPS-equipped vehicles commodities with RFID's people with smartphones etc. In this work we propose an advanced windowing operator that enables online incremental examination of recent motion paths at multiple resolutions for numerous point …
The Semantic Similarity Ensemble, Andrea Ballatore, Michela Bertolotto, David C. Wilson
The Semantic Similarity Ensemble, Andrea Ballatore, Michela Bertolotto, David C. Wilson
Journal of Spatial Information Science
Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval data mining and information integration. To date a wide variety of approaches to geo-semantic similarity have been devised. A judgment of similarity is not intrinsically right or wrong but obtains a certain degree of cognitive plausibility depending on how closely it mimics human behavior. Thus selecting the most appropriate measure for a specific task is a significant challenge. To address this issue we make an analogy between computational similarity measures and soliciting domain expert opinions which incorporate a subjective set of beliefs perceptions hypotheses and …
Semantic And Conceptual Issues In Geographic Information Systems, Eliseo Clementini, Esteban Zimanyi
Semantic And Conceptual Issues In Geographic Information Systems, Eliseo Clementini, Esteban Zimanyi
Journal of Spatial Information Science
No abstract provided.
Testing Ogc Web Feature And Coverage Service Performance: Towards Efficient Delivery Of Geospatial Data, Gregory Giuliani, Alain Dubois, Pierre Lacroix
Testing Ogc Web Feature And Coverage Service Performance: Towards Efficient Delivery Of Geospatial Data, Gregory Giuliani, Alain Dubois, Pierre Lacroix
Journal of Spatial Information Science
OGC Web Feature Service (WFS) and Web Coverage Service (WCS) specifications allow interoperable access to distributed geospatial data made available through spatial data infrastructures (SDIs). To ensure that a service is sufficiently responsive to fulfill users’ expectations and requirements performance of services must be measured and monitored to track latencies bottlenecks and errors that may negatively influence its over- all quality. Despite the importance of data retrieval and access little research has been published on this topic and mostly concentrates on the usability of services when integrating distributed data sources. Considering these issues this paper extends and validates the FOSS4G …
Using Trend Clusters For Spatiotemporal Interpolation Of Missing Data In A Sensor Network, Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione
Using Trend Clusters For Spatiotemporal Interpolation Of Missing Data In A Sensor Network, Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione
Journal of Spatial Information Science
Ubiquitous sensor stations continuously measure several geophysical fields over large zones and long (potentially unbounded) periods of time. However observations can never cover every location nor every time. In addition due to its huge volume the data produced cannot be entirely recorded for future analysis. In this scenario interpolation i.e. the estimation of unknown data in each location or time of interest can be used to supplement station records. Although in GIScience there has been a tendency to treat space and time separately integrating space and time could yield better results than treating them separately when interpolating geophysical fields. According …
A Dynamic And Context-Aware Semantic Mediation Service For Discovering And Fusion Of Heterogeneous Sensor Data, Mohamed Bakillah, Steve H. L. Liang, Alexander Zipf, Mir Abolfazl Mostafavi
A Dynamic And Context-Aware Semantic Mediation Service For Discovering And Fusion Of Heterogeneous Sensor Data, Mohamed Bakillah, Steve H. L. Liang, Alexander Zipf, Mir Abolfazl Mostafavi
Journal of Spatial Information Science
Sensors play an increasingly critical role in capturing and distributing observations of phenomena in our environment. The vision of the semantic sensor web is to enable the interoperability of various applications that use sensor data provided by semantically heterogeneous sensor services. However, several challenges still need to be addressed to achieve this vision. More particularly, mechanisms that can support context-aware semantic mapping and that can adapt to the dynamic metadata of sensors are required. Semantic mapping for the sensor web is required to support sensor data fusion, sensor data discovery and retrieval, and automatic semantic annotation, to name only a …
Web And Wireless Geographic Information Systems, Sergio Di Martino, Adriano Peron, Taro Tezuka
Web And Wireless Geographic Information Systems, Sergio Di Martino, Adriano Peron, Taro Tezuka
Journal of Spatial Information Science
No abstract provided.
Interactive Maps: What We Know And What We Need To Know, Robert E. Roth
Interactive Maps: What We Know And What We Need To Know, Robert E. Roth
Journal of Spatial Information Science
This article provides a review of the current state of science regarding cartographic interaction a complement to the traditional focus within cartography on cartographic representation. Cartographic interaction is defined as the dialog between a human and map mediated through a computing device and is essential to the research into interactive cartography geovisualization and geovisual analytics. The review is structured around six fundamental questions facing a science of cartographic interaction: (1) what is cartographic interaction (e.g. digital versus analog interactions interaction versus interfaces stages of interaction interactive maps versus mapping systems versus map mash-ups); (2) why provide cartographic interaction (e.g. visual …
Automatic Integration Of Spatial Data In Viewing Services, Ara Tooamnian, Lars Harrie, Ali Mansourian, Petter Pilesjö
Automatic Integration Of Spatial Data In Viewing Services, Ara Tooamnian, Lars Harrie, Ali Mansourian, Petter Pilesjö
Journal of Spatial Information Science
Geoportals are increasingly used for searching viewing and downloading spatial data. This study concerns methods to improve the visual presentation in viewing services. When spatial data in a viewing service are taken from more than one source there are often syntactic semantic topological and geometrical conflicts that prevent maps being fully consistent. In this study we extend a standard view service with methods to solve these conflicts. The methods are based on: (1) semantic labels of data in basic services (2) a rule-base in the portal layer and (3) integration methods in the portal layer. To evaluate the methodology we …
Mining Sensor Datasets With Spatiotemporal Neighborhoods, Michael Patrick Mcguire, Vandana Janeja, Aryya Gangopadhyay
Mining Sensor Datasets With Spatiotemporal Neighborhoods, Michael Patrick Mcguire, Vandana Janeja, Aryya Gangopadhyay
Journal of Spatial Information Science
Many spatiotemporal data mining methods are dependent on how relationships between a spatiotemporal unit and its neighbors are defined. These relationships are often termed the neighborhood of a spatiotemporal object. The focus of this paper is the discovery of spatiotemporal neighborhoods to find automatically spatiotemporal sub-regions in a sensor dataset. This research is motivated by the need to characterize large sensor datasets like those found in oceanographic and meteorological research. The approach presented in this paper finds spatiotemporal neighborhoods in sensor datasets by combining an agglomerative method to create temporal intervals and a graph-based method to find spatial neighborhoods within …
Tutorial Report: Understanding Spatial Thought Through Language Use, Thora Tenbrink, Tommaso D'Odorico, Christoph Hertzberg, Güzin Mazman, Chiara Meneghetti, Nina Reshöft, Jinlong Yang
Tutorial Report: Understanding Spatial Thought Through Language Use, Thora Tenbrink, Tommaso D'Odorico, Christoph Hertzberg, Güzin Mazman, Chiara Meneghetti, Nina Reshöft, Jinlong Yang
Journal of Spatial Information Science
The tutorial "Understanding spatial thought through language use" took place at the International Spatial Cognition Conference on August 31, 2012 at Kloster Seeon in Germany. This report outlines the main rationale for the tutorial along with central contributions by its participants, who considerably enhanced the success of the tutorial by sharing and discussing their own research experiences with respect to the analysis of language in spatial cognition contexts. The tutorial's website is http://knirb.net/TutorialSC2012.html.
Geospatial Images In The Acquisition Of Spatial Knowledge For Wayfinding, Pyry Kettunen, Katja Irvankoski, Christina M. Krause, Tapani Sarjakoski, L. Tiina Sarjakoski
Geospatial Images In The Acquisition Of Spatial Knowledge For Wayfinding, Pyry Kettunen, Katja Irvankoski, Christina M. Krause, Tapani Sarjakoski, L. Tiina Sarjakoski
Journal of Spatial Information Science
Geospatial images such as maps and aerial photographs are important sources of spatial knowledge that people use for wayfinding. The rapid development of geodata acquisition and digital graphics has recently led to rather complete geographic coverage of both traditional and novel types of geospatial images. Divergent types of geospatial images vary in their support of human acquisition of spatial knowledge. However evaluative studies about the acquisition of spatial knowledge from the diversity of geospatial images have been rare. In this article we review a variety of literature about the acquisition of spatial knowledge while paying particular attention to the role …
The Influence Of Landscape Variation On Landform Categorization, Maia Williams, Werner Kuhn, Marco Painho
The Influence Of Landscape Variation On Landform Categorization, Maia Williams, Werner Kuhn, Marco Painho
Journal of Spatial Information Science
This paper compares the landform vocabularies of residents from two regions in Portugal. Participants described both their own and the other less familiar landscapes in response to video footage of the regions. The results indicate that participants used more detailed vocabularies to describe the known landscape compared to the less familiar study site with detail triggered by individual place recognition. A relationship between landform lexica content and landscape type was observed in the relative placement of detail within each vocabulary. The observed drivers of categorization were the salient features of the landscape (elevation and land cover) and utilitarian motivations (land …
Approaching The Notion Of Place By Contrast, Stephan Winter, Christian Freksa
Approaching The Notion Of Place By Contrast, Stephan Winter, Christian Freksa
Journal of Spatial Information Science
Place is an elusive notion in geographic information science. This paper presents an approach to capture the notion of place by contrast. This approach is developed from cognitive concepts and the language that is used to describe places. It is complementary to those of coordinate-based systems that dominate contemporary geographic information systems. Accordingly the approach is aimed at explaining structures in verbal place descriptions and at localizing objects without committing to geometrically specified positions in space. We will demonstrate how locations can be identified by place names that are not crisply defined in terms of geometric regions. Capturing the human …
Spatial Reasoning With Augmented Points: Extending Cardinal Directions With Local Distances, Reinhard Moratz, Jan Oliver Wallgrün
Spatial Reasoning With Augmented Points: Extending Cardinal Directions With Local Distances, Reinhard Moratz, Jan Oliver Wallgrün
Journal of Spatial Information Science
We present an approach for supplying existing qualitative direction calculi with a distance component to support fully fledged positional reasoning. The general underlying idea of augmenting points with local reference properties has already been applied in the OPRAm calculus. In this existing calculus point objects are attached with a local reference direction to obtain oriented points and able to express relative direction using binary relations. We show how this approach can be extended to attach a granular distance concept to direction calculi such as the cardinal direction calculus or adjustable granularity calculi such as OPRAm or the Star calculus. We …
Cybergis - Toward Synergistic Advancement Of Cyberinfrastructure And Giscience: A Workshop Summary, Shaowen Wang, Nancy R. Wilkins-Diehr, Timothy L. Nyerges
Cybergis - Toward Synergistic Advancement Of Cyberinfrastructure And Giscience: A Workshop Summary, Shaowen Wang, Nancy R. Wilkins-Diehr, Timothy L. Nyerges
Journal of Spatial Information Science
This community activity report describes the outcomes of a CyberGIS workshop held in conjunction with the UCGIS 2010 annual winter meeting and sponsored by the National Science Foundation (NSF) Office of Cyberinfrastructure. Over the one and one-half day workshop a multidisciplinary group of experts from the international communities of cyberinfrastructure GIScience spatial analysis and modeling and several other related scientific domains were brought together for a participatory meeting composed of both small- and large-group settings and to discuss the CyberGIS road map.
Spatial Models For Context-Aware Indoor Navigation Systems: A Survey, Imad Afyouni, Cyril Ray, Christophe Claramunt
Spatial Models For Context-Aware Indoor Navigation Systems: A Survey, Imad Afyouni, Cyril Ray, Christophe Claramunt
Journal of Spatial Information Science
This paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping to indoor location-based services (LBS) and most recently to context-aware navigation services applied to indoor environments. Over the past few years several studies have evaluated the potential of spatial models for robot navigation and ubiquitous computing. In this paper we take a slightly different perspective considering not only the underlying properties of those spatial models but also to which degree the notion of context can be taken into account when delivering services in indoor environments. Some preliminary recommendations for the development of indoor spatial models …
Computationally Determining The Salience Of Decision Points For Real-Time Wayfinding Support, Makoto Takemiya, Toru Ishikawa
Computationally Determining The Salience Of Decision Points For Real-Time Wayfinding Support, Makoto Takemiya, Toru Ishikawa
Journal of Spatial Information Science
This study introduces the concept of computational salience to explain the discriminatory efficacy of decision points which in turn may have applications to providing real-time assistance to users of navigational aids. This research compared algorithms for calculating the computational salience of decision points and validated the results via three methods: high-salience decision points were used to classify wayfinders; salience scores were used to weight a conditional probabilistic scoring function for real-time wayfinder performance classification; and salience scores were correlated with wayfinding-performance metrics. As an exploratory step to linking computational and cognitive salience a photograph-recognition experiment was conducted. Results reveal a …