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Social and Behavioral Sciences Commons™
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- Journal of Modern Applied Statistical Methods (49)
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Articles 31 - 60 of 179
Full-Text Articles in Social and Behavioral Sciences
On Some Properties And Estimation Of Size-Biased Polya-Eggenberger Distribution, Anwar Hassan, Sheikh Bilal, Imtiyaz Ahmad Shah
On Some Properties And Estimation Of Size-Biased Polya-Eggenberger Distribution, Anwar Hassan, Sheikh Bilal, Imtiyaz Ahmad Shah
Journal of Modern Applied Statistical Methods
A size-biased version of Polya-Eggenberger distribution is introduced explicitly and by a mixture model. The proposed distribution is unimodal with positive integer moments. The recurrence relation between moments (about the origin) of the proposed distribution is established and its relationship with other distributions is discussed. Different estimation techniques are proposed to estimate the parameters of the distribution.
An Extension Of Cochran-Orcutt Procedure For Generalized Linear Regression Models With Periodically Correlated Errors, Abdullah A. Smadi, Nour H. Abu-Afouna
An Extension Of Cochran-Orcutt Procedure For Generalized Linear Regression Models With Periodically Correlated Errors, Abdullah A. Smadi, Nour H. Abu-Afouna
Journal of Modern Applied Statistical Methods
An important assumption of ordinary regression models is independence among errors. This research considers the case of periodically correlated errors following the periodic AR model of order 1 (PAR(1)). The remedial measure for correlated errors in regression known as the Cochran-Orcutt procedure is generalized to the case of periodically correlated errors. The motivation for making such generalizations is that the response data may inhibit some seasonality, which may not be captured by the traditional AR(1) autoregressive model. The proposed procedure is described and the bias and MSE of the resulting intercept and slope parameter estimates of the simple LR model …
Bayesian Estimation Of Erlang Distribution Under Different Generalized Truncated Distributions As Priors, Adil H. Khan, T.R. Jan
Bayesian Estimation Of Erlang Distribution Under Different Generalized Truncated Distributions As Priors, Adil H. Khan, T.R. Jan
Journal of Modern Applied Statistical Methods
Various generalized truncated distributions are considered as independent informative priors for estimating shape and scale parameters of the Erlang distribution. In addition, various special cases are also discussed.
A Proposed Ridge Parameter To Improve The Least Square Estimator, Ghadban Khalaf
A Proposed Ridge Parameter To Improve The Least Square Estimator, Ghadban Khalaf
Journal of Modern Applied Statistical Methods
Ridge regression, a form of biased linear estimation, is a more appropriate technique than ordinary least squares (OLS) estimation in the case of highly intercorrelated explanatory variables in the linear regression model Y = β + u. Two proposed ridge regression parameters from the mean square error (MSE) perspective are evaluated. A simulation study was conducted to demonstrate the performance of the proposed estimators compared to the OLS, HK and HKB estimators. Results show that the suggested estimators outperform the OLS and the other estimators regarding the ridge parameters in all situations examined.
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 …
Affordance-Based Individuation Of Junctions In Open Street Map, Simon Scheider, Jörg Possin
Affordance-Based Individuation Of Junctions In Open Street Map, Simon Scheider, Jörg Possin
Journal of Spatial Information Science
We propose an algorithm that can be used to identify automatically the subset of street segments of a road network map that corresponds to a junction. The main idea is to use turn-compliant locomotion affordances i.e. restricted patterns of supported movement in order to specify junctions independently of their data representation and in order to motivate tractable individuation and classification strategies. We argue that common approaches based solely on geometry or topology of the street segment graph are useful but insufficient proxies. They miss certain turn restrictions essential to junctions. From a computational viewpoint the main challenge of affordance-based individuation …
Semantic Trajectory Compression: Representing Urban Movement In A Nutshell, Kai-Florian Richter, Falko Schmid, Patrick Laube
Semantic Trajectory Compression: Representing Urban Movement In A Nutshell, Kai-Florian Richter, Falko Schmid, Patrick Laube
Journal of Spatial Information Science
There is an increasing number of rapidly growing repositories capturing the movement of people in space-time. Movement trajectory compression becomes an obvious necessity for coping with such growing data volumes. This paper introduces the concept of semantic trajectory compression (STC). STC allows for substantially compressing trajectory data with acceptable information loss. It exploits that human urban mobility typically occurs in transportation networks that define a geographic context for the movement. In STC a semantic representation of the trajectory that consists of reference points localized in a transportation network replaces raw highly redundant position information (e.g. from GPS receivers). An experimental …
Editorial, Matt Duckham
A Wayfinding Aid To Increase Navigator Independence, Wilfred Waters, Stephan Winter
A Wayfinding Aid To Increase Navigator Independence, Wilfred Waters, Stephan Winter
Journal of Spatial Information Science
Wayfinding aids are of great benefit because users do not have to rely on their learned geographic knowledge or orientation skills alone for successful navigation. Additionally cognitive resources usually captured by this activity can be spent elsewhere. A challenge however remains for wayfinding aid developers. Due to the automation of wayfinding aids navigator independence may be decreasing via the use of these aids. In order to address this wayfinding aids might be improved additionally to perform a training role. Since the most versatile wayfinders appear to deploy a dual strategy for geographic orientation it is proposed that wayfinding aids be …
Geocam: A Geovisual Analytics Workspace To Contextualize And Interpret Statements About Movement, Anuj Jaiswal, Scott Pezanowski, Prasenjit Mitra, Xiao Zhang, Sen Xu, Ian Turton, Alexander Klippel, Alan M. Maceachren
Geocam: A Geovisual Analytics Workspace To Contextualize And Interpret Statements About Movement, Anuj Jaiswal, Scott Pezanowski, Prasenjit Mitra, Xiao Zhang, Sen Xu, Ian Turton, Alexander Klippel, Alan M. Maceachren
Journal of Spatial Information Science
This article focuses on integrating computational and visual methods in a system that supports analysts to identify extract map and relate linguistic accounts of movement. We address two objectives: (1) build the conceptual theoretical and empirical framework needed to represent and interpret human-generated directions; and (2) design and implement a geovisual analytics workspace for direction document analysis. We have built a set of geo-enabled computational methods to identify documents containing movement statements and a visual analytics environment that uses natural language processing methods iteratively with geographic database support to extract interpret and map geographic movement references in context. Additionally analysts …
Segmenting Trajectories: A Framework And Algorithms Using Spatiotemporal Criteria, Maike Buchin, Anne Driemel, Marc Van Kreveld, Vera Sacristan
Segmenting Trajectories: A Framework And Algorithms Using Spatiotemporal Criteria, Maike Buchin, Anne Driemel, Marc Van Kreveld, Vera Sacristan
Journal of Spatial Information Science
In this paper we address the problem of segmenting a trajectory based on spatiotemporal criteria. We require that each segment is homogeneous in the sense that a set of spatiotemporal criteria are fulfilled. We define different such criteria including location heading speed velocity curvature sinuosity curviness and shape. We present an algorithmic framework that allows us to segment any trajectory into a minimum number of segments under any of these criteria or any combination of these criteria. In this framework a segmentation can generally be computed in O(n log n) time where n is the number of edges of the …
Connect The Dot: Computing Feed-Links For Network Extension, Boris Aronov, Kevin Buchin, Maike Buchin, Bart Jansen, Tom De Jong, Marc Van Kreveld, Maarten Loffler, Jun Luo, Rodrigo I. Silveira, Bettina Speckmann
Connect The Dot: Computing Feed-Links For Network Extension, Boris Aronov, Kevin Buchin, Maike Buchin, Bart Jansen, Tom De Jong, Marc Van Kreveld, Maarten Loffler, Jun Luo, Rodrigo I. Silveira, Bettina Speckmann
Journal of Spatial Information Science
Road network analysis can require distance from points that are not on the network themselves. We study the algorithmic problem of connecting a point inside a face (region) of the road network to its boundary while minimizing the detour factor of that point to any point on the boundary of the face. We show that the optimal single connection (feed-link) can be computed in O(lambda_7(n) log n) time where n is the number of vertices that bounds the face and lambda_7(n) is the slightly superlinear maximum length of a Davenport-Schinzel sequence of order 7 on n symbols. We also present …
Editorial, Jörg-Rüdiger Sack
Editorial, Jörg-Rüdiger Sack
Journal of Spatial Information Science
No abstract provided.
Report On The First Workshop On Movement Pattern Analysis Mpa10, Patrick Olivier Laube, Björn Gottfried, Alexander Klippel, Roland Billen, Nico Van De Weghe
Report On The First Workshop On Movement Pattern Analysis Mpa10, Patrick Olivier Laube, Björn Gottfried, Alexander Klippel, Roland Billen, Nico Van De Weghe
Journal of Spatial Information Science
This paper reports on the 1st Workshop on Movement Pattern Analysis, held as a pre-GIScience 2010 workshop in September 2010 in Zurich, Switzerland. The report outlines the scientific motivation for the event, summarizes its main contributions and outcomes, discusses the implications of the gathering, and indicates directions for the road ahead.
Towards A Computational Transportation Science, Stephan Winter, Monika Sester, Ouri Wolfson, Glenn Geers
Towards A Computational Transportation Science, Stephan Winter, Monika Sester, Ouri Wolfson, Glenn Geers
Journal of Spatial Information Science
This report of a community activity a Dagstuhl Seminar earlier in 2010 postulates the need for a computational transportation science as the science behind intelligent transportation systems. In addition to the argument for establishing a discipline we present a first research agenda for computational transportation science.
Uncertainty-Aware Video Visual Analytics Of Tracked Moving Objects, Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann
Uncertainty-Aware Video Visual Analytics Of Tracked Moving Objects, Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann
Journal of Spatial Information Science
Vast amounts of video data render manual video analysis useless while recent automatic video analytics techniques suffer from insufficient performance. To alleviate these issues we present a scalable and reliable approach exploiting the visual analytics methodology. This involves the user in the iterative process of exploration hypotheses generation and their verification. Scalability is achieved by interactive filter definitions on trajectory features extracted by the automatic computer vision stage. We establish the interface between user and machine adopting the VideoPerpetuoGram (VPG) for visualization and enable users to provide filter-based relevance feedback. Additionally users are supported in deriving hypotheses by context-sensitive statistical …
Behavior Monitoring And Interpretation, Björn Gottfried
Behavior Monitoring And Interpretation, Björn Gottfried
Journal of Spatial Information Science
No abstract provided.
A Combined Gis And Stereo Vision Approach To Identify Building Pixels In Images And Determine Appropriate Color Terms, Philip James Bartie, Femke Reitsma, Steven Mills
A Combined Gis And Stereo Vision Approach To Identify Building Pixels In Images And Determine Appropriate Color Terms, Philip James Bartie, Femke Reitsma, Steven Mills
Journal of Spatial Information Science
Color information is a useful attribute to include in a building's description to assist the listener in identifying the intended target. Often this information is only available as image data and not readily accessible for use in constructing referring expressions for verbal communication. The method presented uses a GIS building polygon layer in conjunction with street-level captured imagery to provide a method to automatically filter foreground objects and select pixels which correspond to building facades. These selected pixels are then used to define the most appropriate color term for the building and corresponding fuzzy color term histogram. The technique uses …
The Semantics Of Similarity In Geographic Information Retrieval, Krzysztof Janowicz, Martin Raubal, Werner Kuhn
The Semantics Of Similarity In Geographic Information Retrieval, Krzysztof Janowicz, Martin Raubal, Werner Kuhn
Journal of Spatial Information Science
Similarity measures have a long tradition in fields such as information retrieval artificial intelligence and cognitive science. Within the last years these measures have been extended and reused to measure semantic similarity; i.e. for comparing meanings rather than syntactic differences. Various measures for spatial applications have been developed but a solid foundation for answering what they measure; how they are best applied in information retrieval; which role contextual information plays; and how similarity values or rankings should be interpreted is still missing. It is therefore difficult to decide which measure should be used for a particular application or to compare …
Optimizing Map Labeling Of Point Features Based On An Onion Peeling Approach, Wan D. Bae, Shayma Alkobaisi, Sada Narayanappa, Petr Vojtechovsky, Kye Y. Bae
Optimizing Map Labeling Of Point Features Based On An Onion Peeling Approach, Wan D. Bae, Shayma Alkobaisi, Sada Narayanappa, Petr Vojtechovsky, Kye Y. Bae
Journal of Spatial Information Science
Map labeling of point features is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the quality. This is a critical problem in the application of cartography and geographical information systems (GIS). In this paper we study the fundamental issues related to map labeling of point features and develop a new genetic algorithm to solve this problem. We adopt a method called convex onion peeling and utilize it in our proposed convex onion peeling genetic algorithm (COPGA) to efficiently manage map labels of point features. …
Editorial, Matt Duckham
Spatial Behavior And Linguistic Representation: Collaborative Interdisciplinary Specialized Workshop, Thora Tenbrink, Jan Wiener, Christophe Claramunt, Marios Avraamides, Rainer Malaka, Hanspeter A. Mallot
Spatial Behavior And Linguistic Representation: Collaborative Interdisciplinary Specialized Workshop, Thora Tenbrink, Jan Wiener, Christophe Claramunt, Marios Avraamides, Rainer Malaka, Hanspeter A. Mallot
Journal of Spatial Information Science
The Collaborative Interdisciplinary Specialized Workshop on Spatial Behavior and Linguistic Representation took place on April 23–24, 2010, at the Hanse-Wissenschaftskolleg, Institute for Advanced Study (HWK), in Delmenhorst, Germany. We report the scientific motivation for this workshop and report its outcomes together with the impact of a gathering of this kind for the scientific community.
Grain Levels In English Path Curvature Descriptions And Accompanying Iconic Gestures, Emile Van Der Zee, Urpo Nikanne, Uta Sassenberg
Grain Levels In English Path Curvature Descriptions And Accompanying Iconic Gestures, Emile Van Der Zee, Urpo Nikanne, Uta Sassenberg
Journal of Spatial Information Science
This paper confirms that the English verb system (similar to the Finnish, Dutch, and Bulgarian verb systems) represents path curvature at three different grain levels: neutral path curvature, global path curvature, and local path curvature. We show that the three-grain-level hypothesis makes it possible to formulate constraints on English sentence structure and makes it possible to define constructions in English that refer to path curvature. We furthermore demonstrate in an experiment that the proposed English lexicalization pattern regarding path curvature in tandem with the spatial information shown to English speakers correctly predicts their packaging of grain levels in iconic gestures. …
Linguistic Spatial Classifications Of Event Domains In Narratives Of Crime, Blake Stephen Howald
Linguistic Spatial Classifications Of Event Domains In Narratives Of Crime, Blake Stephen Howald
Journal of Spatial Information Science
Structurally, formal definitions of the linguistic narrative minimally require two temporally linked past-time events. The role of space in this definition, based on spatial language indicating where events occur, is considered optional and non-structural. However, based on narratives with a high frequency of spatial language, recent research has questioned this perspective, suggesting that space is more critical than may be readily apparent. Through an analysis of spatially rich serial criminal narratives, it will be demonstrated that spatial information qualitatively varies relative to narrative events. In particular, statistical classifiers in a supervised machine learning task achieve a 90% accuracy in predicting …
This Is The Tricky Part: When Directions Become Difficult, Stephen Hirtle, Kai-Florian Richter, Samvith Srinivas, Robert Firth
This Is The Tricky Part: When Directions Become Difficult, Stephen Hirtle, Kai-Florian Richter, Samvith Srinivas, Robert Firth
Journal of Spatial Information Science
Automated route guidance systems, both web-based systems and en-route systems, have become commonplace in recent years. These systems often replace human-generated directions, which are often incomplete, vague, or in error. However, human-generated directions have the ability to differentiate between easy and complex steps through language in a way that is more difficult in automated systems. This article examines a set of human-generated verbal directions to better understand why some parts of directions are perceived as being more difficult than the remaining steps. Insights from this analysis will lead to recommendations to improve the next generation of automated route guidance systems.
Presenting Spatial Information: Granularity, Relevance, And Integration, Thora Tenbrink, Stephan Winter
Presenting Spatial Information: Granularity, Relevance, And Integration, Thora Tenbrink, Stephan Winter
Journal of Spatial Information Science
No abstract provided.
Exploring Place Through User-Generated Content: Using Flickr Tags To Describe City Cores, Livia Hollenstein, Ross Purves
Exploring Place Through User-Generated Content: Using Flickr Tags To Describe City Cores, Livia Hollenstein, Ross Purves
Journal of Spatial Information Science
Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular language. Here, we explore such language by harvesting georeferenced and tagged metadata associated with 8 million Flickr images and thus consider how large numbers of people name city core areas. The nature of errors and imprecision in tagging and georeferencing are quantified, and automatically generated precision measures appear to mirror errors in the positioning of images. Users seek to ascribe appropriate semantics to images, though bulk-uploading and bulk-tagging may introduce bias. Between 0.5--2% of tags associated with georeferenced images analyzed describe city core areas …
Twenty Years Of Progress: Giscience In 2010, Michael F. Goodchild
Twenty Years Of Progress: Giscience In 2010, Michael F. Goodchild
Journal of Spatial Information Science
It is 20 years since the term “geographic information science” was suggested to encompass the set of fundamental research issues that surround GIS. Two decades of GIScience have produced a range of accomplishments, in an expanding literature of research results as well as in the infrastructure of research. Several themes are suggested for future research, based both on gaps in what has been accomplished thus far, and on technology trends that will themselves raise research questions.