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Full-Text Articles in Social and Behavioral Sciences
Conceptual Framework For Using Gis In Building Community Capital Towards Sustainability, Sungsoon Hwang
Conceptual Framework For Using Gis In Building Community Capital Towards Sustainability, Sungsoon Hwang
Sungsoon Hwang
Sustainability—balancing fundamental human needs with ecological resilience—has been embraced as an overarching policy goal. And communities have been called to participate in the process of attaining that ideal. Community-based organizations (CBOs) can benefit from using GIS in building community assets and developing sustainability initiatives. However, GIS, has not been used widely for these purposes in CBOs yet. In this chapter, I illustrate how geographic information (such as maps) can be useful in community development drawing from community GIS projects, and explain how theories of sustainability and spatial thinking can be utilized in community-based efforts towards sustainability. CBOs can monitor and …
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 …
Using Fuzzy Clustering Methods For Delineating Urban Housing Submarkets, Sungsoon Hwang
Using Fuzzy Clustering Methods For Delineating Urban Housing Submarkets, Sungsoon Hwang
Sungsoon Hwang
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or crisp) set theory. A fuzzy c-means algorithm is applied to obtain fuzzy set membership degree of census tracts to housing submarkets defined within a metropolitan area. Issues of choosing algorithm parameters are discussed on the basis of applying fuzzy clustering to 85 metropolitan areas in the U.S. The comparison between results of fuzzy clustering and those of crisp set counterpart shows that fuzzy clustering yields statistically more desirable clusters.
Extending Spatial Hot Spot Detection Techniques To Temporal Dimensions, Sungsoon Hwang
Extending Spatial Hot Spot Detection Techniques To Temporal Dimensions, Sungsoon Hwang
Sungsoon Hwang
This paper presents how hot spot detection methods can be extended to allow for temporal dimensions. Major concerns are how temporal dimension is incorporated into the framework of point pattern analysis, while maintaining the capability of multi-scale analysis. The study elaborates on expanding the scope of (space) K function in order to count time in the analysis. With the explicit treatment of time as well as space, K function falls into three category depending on the way space and time are controlled; (1) space K function, (2) time K function, (3) space-time K function. Space K function is equivalent to …
Empirical Study On Location Indeterminacy Of Localities, Sungsoon Hwang, Jean-Claude Thill
Empirical Study On Location Indeterminacy Of Localities, Sungsoon Hwang, Jean-Claude Thill
Sungsoon Hwang
It is often the case that locality boundaries are not sharply delineated in our mental maps. This paper examines the level of uncertainty involved in perceiving qualitative boundaries of urban vs. rural localities. To measure location indeterminacy of locality, we begin with modeling locality as fuzzy region or also known as egg-yolk model which is composed of core, boundary, and exterior. The more a specific locality (e.g., Buffalo, Amherst) is geocoded within core, the more locality is location-determinant. 5460 fatal traffic accidents gathered from the Fatality Analysis Reporting System (FARS) in New York State from year 1996 to 2001 are …