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- Behavioral pharmacology (1)
- Betweenness centrality (1)
- Census data (1)
- Cluster analyses (1)
- Correlation between location and content (1)
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- Cross-scale movement analysis (1)
- Data exploration (1)
- Data mining (1)
- Decision-making (1)
- Drug screening (1)
- Education (1)
- Environmental factors (1)
- Equal time distance (1)
- Feature extraction (1)
- First Law of Geography (1)
- Fr´echet distance (1)
- Geocoding (1)
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- Geovisualization (1)
- Hausdorff distance (1)
- Historical GIS (1)
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- LiDAR point cloud (1)
- Machine learning (1)
- Map generalization (1)
- Mobile microblogging (1)
- Modeling context (1)
- Movement data (1)
Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
Gi Science, Not Giscience, Andreas Christoffer Hall
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
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
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 …