Donna J. Peuquet

Donna J. Peuquet
Pennsylvania State University | Penn State · Department of Geography

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88
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4,231
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Publications

Publications (88)
Article
Full-text available
Machine learning (ML) interpretability has become increasingly crucial for identifying accurate and relevant structural relationships between spatial events and factors that explain them. Methodologically aspatial ML algorithms with an apparent high predictive power ignore non-stationary domain relationships in spatio-temporal data (e.g. dependence...
Conference Paper
Full-text available
Information, ideas, and diseases, or more generally, contagions, spread over time and space through individual transmissions via social networks, as well as through external sources. A detailed picture of any diffusion process can be achieved only when both a detailed network structure and individual diffusion pathways are obtained. Studying such d...
Conference Paper
Full-text available
Spatial Co-location Pattern (SCP) mining continues to play a critical role in understanding the morphology of urban functional spaces of world cities. It requires a large amount of fine-granular data and computing efficiency to handle the combinatorial explosion of co-location patterns. To this end, this work has two main contributions-i) We showca...
Preprint
Information, ideas, and diseases, or more generally, contagions, spread over space and time through individual transmissions via social networks, as well as through external sources. A detailed picture of any diffusion process can be achieved only when both a good network structure and individual diffusion pathways are obtained. The advent of rich...
Article
Full-text available
Periodicity is embedded in all societies. As most of us organize our lives based on temporal structures, it is hard to imagine what life would be like without it. We experience periodicity through naturally occurring rhythms that exist in nature, such as sunrise/sunset, seasonal changes in the weather, and the tides. We also experience it through a...
Article
Whether it is sunrise, the weekend, or Christmas, some form of temporal structure or periodic pattern governs our daily activities. Understanding them is essential to making sense of human activity, because they frame normality and allow us to identify abnormalities. However, cultural heterogeneity and scale greatly complicate our ability to uncove...
Chapter
Interest in representing temporal as well as spatial information in digital form coincided with the availability of large volumes of spatiotemporal data via advancing geosensing technology as well as accumulation of digital data from archival sources. A historical review is given, including entity-based, location-based, time-based, and combined rep...
Article
Full-text available
It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds and social media streams. Here we present a geovisualization tool that can leverage computational methods, such as T-p...
Article
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Pattern analysis techniques currently common within geography tend to focus either on characterizing patterns of spatial and/or temporal recurrence of a single event type (e.g., incidence of flu cases) or on comparing sequences of a limited number of event types where relationships between events are already represented in the data (e.g., movement...
Article
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Temporal patterns indicate consistency and change, providing insight into social processes and phenomena. This article contributes to understanding patterns in social science by confirming the existence of known patterns under new conditions and quantifying the amount of observed deviation. We introduce a technique for matching a pattern in real-wo...
Conference Paper
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Analysts are faced with increasing volume and complexity of spatially and spatio-temporally referenced events to analyze. One means of taming this volume and complexity is to develop methods and tools that can identify patterns, including spatio-temporal structure like clusters, in event data. To understand these methods and tools, we first present...
Article
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A dendrogram that visualizes a clustering hierarchy is often integrated with a reorderable matrix for pattern identification. The method is widely used in many research fields including biology, geography, statistics, and data mining. However, most dendrograms do not scale up well, particularly with respect to problems of graphical and cognitive in...
Article
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Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems. This research addresses this problem through a Java-based multi-agent prototype system, GeoAgent-based Knowledge System (GeoAgentKS). This sys...
Article
While current Geographic Information Systems (GISs) can represent observational spatial data well, they have limited capabilities in representing some non‐observational social elements and goal‐driven behaviours that can be important factors in a wide range of geographic issues. Such social components may include laws, regulations, polices, plans,...
Article
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The relationships between ambient PM(2.5) and PM(10) and arrhythmia and the effect modification by cigarette smoking were investigated. Data from U.S. Environmental Protection Agency (EPA) air quality monitors and an established national-scale, log-normal kriging method were used to spatially estimate daily mean concentrations of PM at addresses of...
Article
Full-text available
There has been much excitement and activity in recent years related to the relatively sudden availability of earth-related data and the computational capabilities to visualize and analyze these data. Despite the increased ability to collect and store large volumes of data, few individual data sets exist that provide both the requisite spatial and t...
Conference Paper
Sequence, widely appearing in various applications (e.g. event logs, text documents, etc) is an ordered list of objects. Exploring correlated objects in a sequence can provide useful knowledge among the objects, e.g., event causality in event log and word phrases in documents. In this paper, we introduce correlation query that finds correlated pair...
Article
Full-text available
The availability of increasingly large and multidimensional data resources in digital form as well as advancements in computing technology is enabling increasingly complex analysis questions to be addressed across a broad range of applications. But dealing with important current issues such as managing urban growth, predicting the spread of disease...
Article
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Understanding the spatial and temporal characteristics of individual and group behavior in social networks is a critical component of visual tools for intel- ligence analysis, emergency management, consumer analysis, and human geography. Identification and analysis of patterns of recurring events is an es- sential feature of such tools. In this pap...
Conference Paper
Full-text available
Understanding the space and time characteristics of human interaction in complex social networks is a critical component of visual tools for intelligence analysis, consumer behavior analysis, and human geography. Visual identification and comparison of patterns of recurring events is an essential feature of such tools. In this paper, we describe a...
Article
Full-text available
Spatial estimations are increasingly used to estimate geocoded ambient particulate matter (PM) concentrations in epidemiologic studies because measures of daily PM concentrations are unavailable in most U.S. locations. This study was conducted to a) assess the feasibility of large-scale kriging estimations of daily residential-level ambient PM conc...
Article
An abstract is unavailable. This article is available as HTML full text and PDF.
Chapter
A representation is a means to communicate geographic information, and is also a binary structure in a computer or electronic storage medium that corresponds with an object, measurement, or phenomenon in the world. The representation chosen for a geographic phenomenon has a profound impact on interpretation and analysis. The selection of informatio...
Article
Full-text available
The unprecedented large size and high dimensionality of existing geographic datasets make the complex patterns that potentially lurk in the data hard to find. Clustering is one of the most important techniques for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial clusteri...
Article
With the advent of massive, heterogeneous geographic datasets, data mining and knowledge discovery in databases (KDD) have become important tools in deriving meaningful information from these data. In this paper, we discuss how knowledge representation can be employed to significantly enhance the power of the know- ledge discovery process to uncove...
Conference Paper
Full-text available
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial clustering methods have so far been mainly focused on searching for patterns within the spatial dimensions (usually 2D or 3D space), while more general-purpose high-dimensi...
Article
Full-text available
In the modern computing context, the map is no longer just a final product. Maps are now being used in a fundamentally different way – as a self-directed tool for deriving the desired information from geographic data. This, along with developments in GIScience and computer graphics, have led to the new field of geographic visualization. A central i...
Article
In the modern computing context, the map is no longer just a final product. Maps are now being used in a fundamentally different way – as a self-directed tool for deriving the desired information from geographic data. This, along with developments in GIScience and computer graphics, have led to the new field of geographic visualization. A central i...
Article
Full-text available
The unprecedented large size and high dimensionality of existing geographic datasets make complex patterns that potentially lurk in the data hard to find. Spatial data analysis capabilities currently available have not kept up with the need for deriving the full potential of these data. "Traditional spatial analytical techniques cannot easily disco...
Conference Paper
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial clustering methods have so far been mainly focused on searching for patterns within the spatial dimensions (usually 2D or 3D space), while more general-purpose high-dimensi...
Article
Full-text available
Even with much activity over the past decade, including organized efforts on both sides of the Atlantic, the representation of both space and time in digital databases is still problematic and functional space-time systems have not gone beyond the limited prototype stage. Why is this the case? Why did it take twenty years from the first GIS for the...
Article
Full-text available
The advancement of GIS data models to allow the effective utilization of very large heterogeneous geographic databases requires a new approach that incorporates models of human cognition. The ultimate goal is to provide a cooperative human-computer environment for spatial analysis. We describe the pyramid framework as an example of this new approac...
Article
Full-text available
Over the last ten years, a subfield of GIScience has been recognized that addresses the linkage between human thought regarding geographic space and the mechanisms of implementing these in computational models. This research area has developed an identity through a series of successful international conferences and the establishment of a journal. I...
Article
Full-text available
Over the last ten years, a subfield of GIScience has been recognized that addresses the linkage between human thought regarding geographic space and the mechanisms of implementing these in computational models. This research area has developed an identity through a series of successful international conferences and the establishment of a journal. I...
Article
Full-text available
of "Towards an Ontology of Fields" 42 Appendix II: Barry Smith and David Mark: Abstract of "Ontology and Geographic Kinds" 43 Appendix III: List of Participants 44 4 1. Preface This report describes the results of the Specialist Meeting of the National Center for Geographic Information and Analysis (NCGIA) on the topic of "The Ontology of Fields."...
Article
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The increasing prevalence of interactive visualization applications for the representation of spatiotemporal environmental data has created a need for research into the cartographic design of these dynamic applications. The understanding of temporal animations requires that users not only perceive the spatial information presented, but also, just a...
Article
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A foundation upon which both database operations and visualization operations can be defined in a unified way is needed to provide a more versatile and human-oriented means for interfacing with GIS. This paper proposes a taxonomy of operations using a set-based information model that is application and data model independent. Such operations integr...
Article
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Representations historically used within GIS assume a world that exists only in the present. Information contained within a spatial database may be added-to or modified over time, but a sense of change or dynamics through time is not maintained. This limitation of current GIS capabilities has recently received substantial attention, given the incre...
Article
The study of spatiotemporal dynamics is certainly not new, nor is it unique to the field of geography. Nevertheless, addressing complex human and environmental issues such as global warming and human impacts on the environment requires empirical examination from a much broader and integrated perspective than can be accomplished with current techniq...
Article
In the current paper, an approach for the time-based analysis of spatiotemporal data, as an adjunct to location-based and object-based analysis, is described. This approach includes a time-based data model and associated relational operators. The design for TEMPEST, a prototype Temporal Geographic Information System (TGIS) that implements this appr...
Article
An efficient algorithm is presented for determining the shortest Euclidean distance between two features of arbitrary shape that are represented in quadtree form. These features may be disjoint point sets, lines, or polygons. It is assumed that the features do not overlap. Features also may be intertwined and polygons may be complex (i.e. have hole...
Article
Part 1 What is a geographic information system?: geographical information systems - an overview, Duane F.Marble geographical information systems - a new frontier, Roger F.Tomlinson a classification of software components commonly used in geographical information systems, Jack Dangermond GIS versus CAD versus DBMS - what are the differences?, David...
Article
Selection, installation and management of all software and data files implemented on a personal computer is the responsibility of the individual user. Unlike the mainframe environment, there is usually no technical staff who can provide these services. More power, flexibility and choice comes at the expense of the need for more knowledge in order t...
Article
This paper is a case study of issues that have frustrated and slowed the development of a geographical information system for automation of topographic information processing within the U.S. Army. The findings, which are universal to all large organizations attempting to develop an initial capability, reinforce the notion that today most problems i...
Article
Provides a brief overview of the basic structure of a commonly used, modern, vector-based GIS which is capable of successfully handling problems which are large by today's standards. The GIS of the future will need to incorporate new approaches to data storage and retrieval which will permit the efficient handling of the increasingly large volumes...
Article
An examination of the main processes in the raster scanning of cartographic documents. This digitising process requires consideration of the nature of the source documents and impact on scanning efficiency. The use of service bureaux is noted, along with problems in scanning complex images. -M.Blakemore
Article
The need for a conceptually high-level, unifying representational scheme for geographic phenomena was recognized long ago. A number of attempts to address this issue have been made in the past, and each has usually been centered around a specific theoretical point of view. This topic has reappeared recently within the context of geographical inform...
Article
A new approach to building geographic data models that is based on the fundamental characteristics of the data is presented. An overall theoretical framework for representing geographic data is proposed. An example of utilizing this framework in a Geographic Information System (GIS) context by combining artificial intelligence techniques with recen...
Article
The directional relationship between two polygons (e.g. left, above, beside, east, north) is an important spatial property and can also be used as a selection criterion for retrieving objects from a spatial database. If the database is large, this could help significantly in speeding search by reducing the size of the necessary search space. This p...
Article
Progress is reported in the development of a prototype knowledge-based geographic information system. The overall purpose of this project is to investigate and demonstrate the use of advanced methods in order to greatly improve the capabilities of geographic information system technology in the handling of large, multi-source collections of spatial...
Article
This paper describes the architecture and working of a recently implemented knowledge-based GIS (KBGIS-II) that was designed to satisfy several general criteria for GIS. The system has four major functions, query-answering, learning, editing and training. The main query finds constrained locations for spatial objects that are describable in a predi...
Article
Full-text available
The architecture and working of a recently implemented Knowledge-Based Geographic Information System (KBGIS-II), designed to satisfy several general criteria for the GIS, is described. The system has four major functions including query-answering, learning and editing. The main query finds constrained locations for spatial objects that are describa...
Article
A growing need to usse geographic information systems (GIS) to improve the flexibility and overall performance of very large, heterogeneous data bases was examined. The Vaster structure and the Topological Grid structure were compared to test whether such hybrid structures represent an improvement in performance. The use of artificial intelligence...
Article
The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations...
Article
The traditional spatial search can be categorized as blind search, which wastes many efforts on impossible regions. This research increases the spatial search efficiency by a heuristic search strategy, which finds the candidate areas by utilizing spatial knowledges. The spatial knowledges, required by the heuristic search, are the quad tree spatial...
Article
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IntroductionTheoretical FrameworkExamples of Traditional Geographic Data ModelsRecent Developments in Spatial Data ModelsFuture Developments in Spatial Data HandlingSummary and Conclusions References
Article
The use of artificial intelligence techniques that are applicable to Geographic Information Systems (GIS) are examined. Questions involving the performance and modification to the database structure, the definition of spectra in quadtree structures and their use in search heuristics, extension of the knowledge base, and learning algorithm concepts...
Article
The current state of the art in specified areas of Geographic Information Systems GIS technology is examined. Study of the question of very large, efficient, heterogeneous spatial databases is required in order to explore the potential application of remotely sensed data for studying the long term habitability of the Earth. Research includes a revi...
Article
Topics on the analysis and processing of remotely sensed data in the areas of vegetation analysis and modelling, georeferenced information systems, machine assisted information extraction from image data, and artificial intelligence are investigated. Discussions on support field data and specific applications of the proposed technologies are also i...
Article
The map data input and output problem for geographic information systems is rapidly diminishing with the increasing availability of mass digitizing, direct spatial data capture, and graphics hardware based on raster technology. Although a large number of efficient raster-based algorithms exist for performing a wide variety of common tasks on these...
Article
Current graphic devices suitable for high-speed computer input and output of cartographic data are tending more and more to be raster-oriented, such as the rotating drum scanner and the color raster display. However, the majority of commonly used manipulative techniques in computer-assisted cartography and automated spatial data handling continue t...
Article
Current graphic devices suitable for high-speed computer input and output of cartographic data are tending more and more to be raster-oriented, such as the rotating drum scanner and the color raster display. However, the majority of commonly used manipulative techniques in computer-assisted cartography and automated spatial data handling continue t...
Article
The development of more efficient computer input and output devices adapted to cartographic applications has led to increasingly sophisticated operations being performed on larger and larger volumes of cartographic data. These operations, as well as the storage format of the data, tend to replicate traditional manual methods. However, the range of...
Article
Geographic data files are characteristically very large, given the high degree of precision needed for most cartographic production and analysis applications. As the ease of capturing large volumes of high-precision spatial data and the subsequent reliance on automated methods for handling such data increase, there is an increasing need for efficie...
Conference Paper
Full-text available
In every discipline one can trace the interaction between the availability of tools and the research problems that are perceived and attacked. Often in an active research area problems are defined and then discarded because of the lack of appropriate tools with which to handle them. A classic example of this can be found in the development of the n...
Book
v.1. Full geographic information systems / H. Calkins, coord D .F Marble, editor-- v.2. Data manipulation programs-- v.3. Cartography and graphics / K. Brassel, M . Wasilenko coords D. F. Marble, editor
Article
Full-text available
The high dimensionality 1 of data sets can cause serious problems for all data analysis methods, especially for exploratory clustering techniques. First, irrelevant or noisy attributes often exist in a data set. Using all original features to derive clusters can be ineffective and even counter-productive (they may hide rather than uncover clusters)...
Article
Virtually all military and security intelligence analysis depends increasingly on interaction with space-time information. An integrated approach is needed for dealing with space-time components of evidence in flexible and holistic ways so as to facilitate the entire spectrum of intelligence tasks, from open-ended exploration and discovery to inves...
Article
Full-text available
An approach for improving spatial search efficiency in large-scale GJS is presented in this paper. This improvement is achieved by a spatial heuristic search instead of the conventional blind search in GIS. This approach is a practi cal application of artificial intelligence for solving the difficulties caused by large-scale GIS, which spends exces...

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