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Articles 1 - 30 of 31
Full-Text Articles in Computer Sciences
Crater Detection Via Genetic Search Methods To Reduce Image Features, Joseph Paul Cohen
Crater Detection Via Genetic Search Methods To Reduce Image Features, Joseph Paul Cohen
Graduate Masters Theses
Recent approaches to crater detection have been inspired by face detection's use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousands of numerical values from each candidate crater image. This magnitude of image features to extract and consider can spell disaster when the application is an entire planetary surface. One solution is to reduce the number of features extracted and considered in order to increase accuracy as well as speed. Feature subset selection …
Techniques For The Visualization Of Positional Geospatial Uncertainty, Brent A. Barré
Techniques For The Visualization Of Positional Geospatial Uncertainty, Brent A. Barré
University of New Orleans Theses and Dissertations
Geospatial data almost always contains some amount of uncertainty due to inaccuracies in its acquisition and transformation. While the data is commonly visualized (e.g. on digital maps), there are unanswered needs for visualizing uncertainty along with it. Most research on effectively doing this addresses uncertainty in data values at geospatial positions, e.g. water depth, human population, or land-cover classification. Uncertainty in the data’s geospatial positions themselves (positional uncertainty) has not been previously focused on in this regard. In this thesis, techniques were created for visualizing positional uncertainty using World Vector Shoreline as an example dataset. The techniques consist of a …
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 …
Vertical Color Maps: A Data Independent Alternative To Floor Plan Maps, Alexander Salveson Nossum, Nicholas A. Giudice, Hengshan Li
Vertical Color Maps: A Data Independent Alternative To Floor Plan Maps, Alexander Salveson Nossum, Nicholas A. Giudice, Hengshan Li
Spatial Information Science and Engineering Faculty Scholarship
Location sharing in indoor environments is limited by the sparse availability of indoor positioning and lack of geographical building data. Recently, several solutions have begun to implement digital maps for use in indoor space. The map design is often a variant of floor-plan maps. Whereas massive databases and GIS exist for outdoor use, the majority of indoor environments are not yet available in a consistent digital format. This dearth of indoor maps is problematic, as navigating multistorey buildings is known to create greater difficulty in maintaining spatial orientation and developing accurate cognitive maps. The development of standardized, more intuitive indoor …
The Myths Of G-Tech For Business Decision Making, Tin Seong Kam
The Myths Of G-Tech For Business Decision Making, Tin Seong Kam
Research Collection School Of Computing and Information Systems
More than 80% of organisation data are location related - the locations where transactions are done, where retailers are found, and of customers who buy their products. Since the early 2005, there has been an increasing interest among the business community to use geospatial technology to enhance decision making process at both strategic and operational levels. Millions of dollars and man-hours have been invested into driving their geo-technology development and implementation. The use of geospatial technology in business, however, tends to confine to simple mapping. Many of these failures are the victims of misperception. Some of the perpetrators are practitioners. …
Riga: A Rich Internet Geospatial Analytics Application For Area-Based Data, Tin Seong Kam
Riga: A Rich Internet Geospatial Analytics Application For Area-Based Data, Tin Seong Kam
Research Collection School Of Computing and Information Systems
In this information age, more and more public statistical data such as population census, household living, local economy and business establishment are distributed over the internet within the framework of spatial data infrastructure. By and large, these data are organized geographically such as region, province as well as district. Usually, they are published in the form of digital maps over the internet as simple points, lines and polygons markers limited or no analytical function available to transform these data into useful information. To meet the analytical needs of casual public data users, we contribute RIGA, a rich internet geospatial analytics …
Introduction To Gis Using Open Source Software, 4th Ed, Frank Donnelly
Introduction To Gis Using Open Source Software, 4th Ed, Frank Donnelly
Open Educational Resources
This tutorial was created to accompany the GIS Practicum, a day-long workshop offered by the Newman Library at Baruch College CUNY that introduces participants to geographic information systems (GIS) using the open source software QGIS. The practicum introduces GIS as a concept for envisioning information and as a tool for conducting geographic analyses and creating maps. Participants learn how to navigate a GIS interface, how to prepare layers and conduct a basic geographic analysis, and how to create thematic maps. This tutorial was written using QGIS version 1.8 "Lisboa", a cross-platform (Windows, Mac, Linux) desktop GIS software package.
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 …
Guidance In Feature Extraction To Resolve Uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best
Guidance In Feature Extraction To Resolve Uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best
Computer Science Faculty Scholarship
Automated Feature Extraction (AFE) plays a critical role in image understanding. Often the imagery analysts extract features better than AFE algorithms do, because analysts use additional information. The extraction and processing of this information can be more complex than the original AFE task, and that leads to the “complexity trap”. This can happen when the shadow from the buildings guides the extraction of buildings and roads. This work proposes an AFE algorithm to extract roads and trails by using the GMTI/GPS tracking information and older inaccurate maps of roads and trails as AFE guides.
Automated Extraction Of Community Mobility Measures From Gps Stream Data Using Temporal Dbscan, Sungsoon Hwang, Timothy Hanke, Christian Evans
Automated Extraction Of Community Mobility Measures From Gps Stream Data Using Temporal Dbscan, Sungsoon Hwang, Timothy Hanke, Christian Evans
Sungsoon Hwang
Inferring community mobility of patients from GPS data has received much attention in health research. Developing robust mobility (or physical activity) monitoring systems relies on the automated algorithm that classifies GPS track points into events (such as stops where activities are conducted, and routes taken) accurately. This paper describes the method that automatically extracts community mobility measures from GPS track data. The method uses temporal DBSCAN in classifying track points, and temporal filtering in removing noises (any misclassified track points). The result shows that the proposed method classifies track points with 88% accuracy. The percent of misclassified track points decreased …
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 3: Attitudinal Analysis - Artist Housing And Space Survey, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 3: Attitudinal Analysis - Artist Housing And Space Survey, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Ellen Cyran
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Ellen Cyran
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 1: Summary Report, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 1: Summary Report, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Ellen Cyran
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Census 2000 Demographic And Housing Profile Reports, Mark Salling, Ellen Cyran, Sharon Bliss
Census 2000 Demographic And Housing Profile Reports, Mark Salling, Ellen Cyran, Sharon Bliss
Ellen Cyran
No abstract provided.
Foreign-Born Population In Selected Ohio Cities, 1870 To 2000 A Brief Descriptive Report, Mark Salling, Ellen Cyran
Foreign-Born Population In Selected Ohio Cities, 1870 To 2000 A Brief Descriptive Report, Mark Salling, Ellen Cyran
Ellen Cyran
No abstract provided.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 5: Properties Analysis - Artist Housing Characteristics, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 5: Properties Analysis - Artist Housing Characteristics, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Ellen Cyran
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Foreign Migration To The Cleveland-Akron-Lorain Metropolitan Area From 1995 To 2000, Mark Salling, Ellen Cyran
Foreign Migration To The Cleveland-Akron-Lorain Metropolitan Area From 1995 To 2000, Mark Salling, Ellen Cyran
Ellen Cyran
This report is one of a series on migration to and from the region using the five percent Public Use Microdata Sample (PUMS) of the 2000 Census of Population and Housing and provides a description of foreign migrants moving to the Cleveland-Akron-Lorain (CAL) Consolidated Metropolitan Area (CMSA) from 1995 to 2000.* The report identifies the countries of origin of migrants and compares the demographic, socioeconomic, and housing characteristics of the foreign migrants to the CAL with other groups, including foreign migrants to Ohio and the nation, and, at times, to domestic migrants to and from the CAL.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 4: Predictive Analysis - Regression Modeling, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 4: Predictive Analysis - Regression Modeling, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
Ellen Cyran
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Using The Census Bureau's Public Use Microdata For Migration Analysis, Mark Salling, Ellen Cyran
Using The Census Bureau's Public Use Microdata For Migration Analysis, Mark Salling, Ellen Cyran
Ellen Cyran
Using the Census Bureau's Public Use Microdata for Migration Analysis, Proceedings of the annual conference of the Urban and Regional Information Systems Association, Vancouver, BC, Canada, September 2006, pp.336-348.