Release Date: 12/10/2013
Geographic Information System (GIS) technology is playing a growing and, in many cases, an invaluable role in many aspects of survey research. Abt SRBI is a leader in applying GIS to a wide-range of survey tasks. In this webinar, Timothy Michalowski, Abt SRBI GIS Director, demonstrates the application of an advanced GIS topic, the use of Geographic-based statistics. The webinar focus on the concept of Spatial Autocorrelation, and the statistical tests for clustering, randomness or dispersion in survey data. Methods presented include Density, Interpolation, Inverse Distance Weighting, Local/Global Morans’ I, Getis-Ord, and Exploratory Geographic Regression. The webinar offers four real-world examples on the of these Geographic-based statistical methods for survey research projects.
About our Speaker:
As director of Abt SRBI's Geographic Information Systems (GIS) department, Timothy Michalowski has extensive experience in many aspects of GIS such as GPS technology, spatial analysis, geocoding, GIS servers /databases, GIS web-based application development and cartography. Mr. Michalowski's focus at Abt SRBI is on the use of GIS technology for social and survey research. Support with GIS for survey research projects includes data collection, sample plans, geocoding, web-based mapping applications, spatial analysis, and data visualization. Mr. Michalowski has a Masters degree in Urban Planning & Policy, with a focus on GIS, from the University of Illinois and has recently presented at both NYC and national conferences on GIS for social research. Before joining Abt SRBI, Mr. Michalowski managed GIS projects at governmental agencies including the Puget Sound Regional Council (PSRC) in Seattle, WA, and the NYC Department of Transportation (NYCDOT).
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