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URISA Journal Special Issue

URISA Journal Special Issue

Call for papers



Urban and Regional Modeling versus
Planning Practice: Bridging the Gap

URISA Journal Online, Volume 20 Number 2

URISA Journal
Table of Contents
Volume 20, Number 2

Download Volume 20, Number 2 in PDF format

In this issue:

  • Using Global Position Systems (GPS) and Physical Activity Monitors to Assess the Built Environment
    Christopher J. Seeger, Gregory J. Welk, and Susan Erickson
  • Developing Geospatial Data Management, Recruitment, and Analysis Techniques for Physical Activity Research
    Barbara M. Parmenter, Tracy McMillan, Catherine Cubbin, and Rebecca E. Lee
  • Space-Time Patterns of Mortality and Related Factors, Central Appalachia 1969 to 2001
    Timothy S. Hare
  • Leveling the Playing Field: Enabling Community-Based Organizations to Utilize Geographic Information Systems for Effective Advocacy
    Makada Henry-Nickie, Haydar Kurban, Rodney D. Green, and Janet A. Phoenix
  • Development of Neighborhoods to Measure Spatial Indicators of Health
    Marie-Pierre Parenteau, Michael Sawada, Elizabeth A. Kristjansson, Melissa Calhoun, Stephanie Leclair, Ronald Labonté, Vivien Runnels, Anne Musiol, and Sam Herold

 

Journal Online: Volume 20, Number 1

URISA Journal
Table of Contents
Volume 20, Number 1

Download Volume 20, Number 1 in PDF format

In this issue:

  • Automatic Generation of High-Quality Three-Dimensional Urban Buildings from Aerial Images
    Ahmed F. Elaksher and James S. Bethel
  • Robust Principal Component Analysis and Geographically Weighted Regression: Urbanization in the Twin Cities Metropolitan Area of Minnesota
    Debarchana Ghosh and Steven M. Manson
  • Where Are They? A Spatial Inquiry of Sex Offenders in Brazos County
    Praveen Maghelal, Miriam Olivares, Douglas Wunneburger, and Gustavo Roman
  • Tools And Methods For A Transportation Household Survey
    Martin Trépanier, Robert Chapleau, and Catherine Morency
  • Mapping Land-Use/Land-Cover Change in the Olomouc Region, Czech Republic
    Tomáš Václavík
Plus
  • Mapping the Future Success of Public Education
    Donna L. Goldstein

Note: Complete text of Journal articles are in Adobe Acrobat (.pdf) format

The Added Value of Geoportals

The Added Value of Geoportals: An Internet Marketing Perspective

Version 7/22/2008

P.A.J. van Oort, M.C. Kuyper, A.K. Bregt, J. Crompvoets


ABSTRACT

Despite the exponential growth in geoportals at all levels of organization, from local to worldwide, surveys indicate stagnating or even declining trends in visitor numbers. The cause of these trends is poorly understood. In this paper we present a marketing analysis of geoportals. We identify their main competitors, and the two domains in which geoportals can do better than their competitors: creating market transparency and supporting cross-selling. Also we discuss the importance of responding to user feedback and of giving feedback to users. We show what can be practically done by geoportals in those domains. A survey among 48 of geoportals indicates that those which are more active at providing market transparency also have more positive trends in visitor numbers. Other marketing variables were also positively correlated. The theory in this paper can be helpful for geoportal managers in setting up a marketing strategy and that it is worth doing so.

MAPPING LAND USE/LAND COVER CHANGE IN THE OLOMOUC REGION, CZECH REPUBLIC


MAPPING LAND USE/LAND COVER CHANGE IN THE
OLOMOUC REGION, CZECH REPUBLIC

 

Tomáš Václavík


ABSTRACT: The Olomouc region in the Czech Republic has undergone significant changes in the past several decades, including the change in political system of the country in 1989. Although the political and cultural transformation is generally recognized as an important driver of land use (Ptáček 2000), there have been few studies conducted that would empirically assess and quantify land use/land cover changes in the Czech Republic, especially in the context of the post-socialistic transformation (Fanta et al. 2004; Zemek et al. 2005). In this study, I present an approach for identifying major land use/land cover changes in the Olomouc region applying remote sensing techniques to compare data from multispectral satellite sensors acquired twelve years before and twelve years after the revolution in 1989. I pay closer attention to specific trends in land cover changes: changes in agricultural areas, forested areas, and residential development. The results support initial assumptions that the land cover will reflect the changes in human perception of landscape and natural resources, such as smaller need for intensive agriculture, shift to environmental friendly management of forested areas, or increased development and suburbanization.

URISA Journal Volume 19, Number 1

URISA Journal
Table of Contents
Volume 19, Number 1
2007

In this issue:

Journal Online - Volume 19 Number 2

URISA Journal
Table of Contents
Volume 19, Number 2

Download Volume 19, Number 2 in PDF format

In this issue:

  • An Assessment of GIS-Enabled Walkability Audits
    Marc Schlossberg, Asha Weinstein Agrawal, and Katja Irvin
  • Institutional and Organizational Barriers to Effective Use of GIS by Community-
    Based Organizations

    Ann-Margaret Esnard
  • Coupling Multiagent Geosimulation and Spatial OLAP for Better Geosimulation
    Data Analysis

    Walid Ali, Bernard Moulin, Yvan Bédard, Marie-Josée Proulx, and Sonia Rivest
  • An Interoperable Portal Supporting Prototyping Geospatial Applications
    Myra Bambacus, Phil Yang, John Evans, Marge Cole, Nadine Alameh, and Stephen Marley
  • A Comprehensive Process for Linear Referencing
    Kevin M. Curtin, Greta Nicoara, and Rumana Reaz Arifin
  • When Data Sharing Becomes Institutionalized: Best Practices in Local
    Government Geographic Information Relationships
    David L. Tulloch and Francis Harvey

Note: Complete text of Journal articles are in Adobe Acrobat (.pdf) format

Reading, ‘Riting, ‘Rithmetic...GIS - The Fourth “R” in Education?

Reading, ‘Riting, ‘Rithmetic...GIS - The Fourth “R” in Education?

(Version 11/7/07)

Donna L. Goldstein


ABSTRACT: For better or worse, computers have revolutionized every aspect of our lives. As we quickly make the transition from an industrial to an information age, computer literacy skills have become a basic necessity. Technology skills are now referred to as the "Fourth R" in education. To successfully learn and use GIS (Geographical Information Systems) technology, one must incorporate the skills of reading, writing, and arithmetic. Understanding and utilizing a GIS system requires a holistic combination of reading instructions, data, and maps; writing hypotheses, reports, and presentations; and using arithmetic to understand queries and spatial analysis. Thus the 4th R as it relates to GIS is a new elevated skill that incorporates the three original R’s in education. Teaching GIS may be just the boost our public educational system needs to adequately prepare students for entrance into the emerging global society.

Automatic Generation of High Quality 3D Urban Buildings from Aerial Images

Automatic Generation of High Quality 3D Urban Buildings from Aerial Images

(Version 11/5/07)

Ahmed F. Elaksher and James S. Bethel

ABSTRACT: High quality 3D building databases are essential inputs for urban area Geographic Information Systems. Since manual generation of these databases is very costly and time consuming, the development of automated algorithms is of great need. This article presents a new algorithm to automatically extract accurate and reliable 3D building information. High overlapping aerial images are used as input to the algorithm. Radiometric and geometric properties of buildings are utilized to distinguish building roofs in the images. This is accomplished using image segmentation and neural network techniques. A rule-based system is used to extract the vertices of the roof polygons in all images. The 3D coordinates of these vertices are computed using photogrammetric mathematical models. The algorithm is tested on a number of buildings in a complex urban scene. Results showed a detection rate of 99% and a false alarm rate of 5.0%. The root mean square error for the extracted building vertices is 0.25 meter using 1:4000 scale aerial photographs scanned at 30 micron.

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