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Texas
Decade:
2010-2019
Year:
2010
Month:
August
County Level Population Estimation Using Knowledge-Based Image Classification and Regression Models
Date: August 2010
Creator: Nepali, Anjeev
Description: This paper presents methods and results of county-level population estimation using Landsat Thematic Mapper (TM) images of Denton County and Collin County in Texas. Landsat TM images acquired in March 2000 were classified into residential and non-residential classes using maximum likelihood classification and knowledge-based classification methods. Accuracy assessment results from the classified image produced using knowledge-based classification and traditional supervised classification (maximum likelihood classification) methods suggest that knowledge-based classification is more effective than traditional supervised classification methods. Furthermore, using randomly selected samples of census block groups, ordinary least squares (OLS) and geographically weighted regression (GWR) models were created for total population estimation. The overall accuracy of the models is over 96% at the county level. The results also suggest that underestimation normally occurs in block groups with high population density, whereas overestimation occurs in block groups with low population density.
Contributing Partner: UNT Libraries
Permallink:digital.library.unt.edu/ark:/67531/metadc30498/
Funding and Effectiveness of Staff Development Programs in Three North Texas School Districts
Date: August 2010
Creator: Ivey, Shannon Kay
Description: This dissertation study focused on three aspects of staff development in North Texas: 1) funding sources, 2) types of professional learning programs, and 3) teachers' views of the effectiveness of the funded programs. Qualitative data came from interviews with nine district administrators concerning funding sources and how those resources enhanced teacher skills. Quantitative data came from 1,277 responses from teachers regarding their background and perceptions about staff development. Data from interviews with district administrators were diagrammed to depict elements of funding staff development and to reveal how resources were used to plan, implement, and evaluate staff learning. An analysis of interview data revealed that availability of grants, property tax rates, and student enrollment affected how districts funded staff development. Administrators reported that districts funded professional learning that was planned according to academic initiatives, met the needs of adult learners, and adapted to the changing needs of school communities. Both administrators and practitioners reported that time was a lacking resource critical to developing staff knowledge. Practitioners reported that sufficient opportunity to collaborate with colleagues about learning initiatives was more valuable than teaching materials. Teacher questionnaires were analyzed for possible relationships between participant variables and responses concerning knowledge about funding constraints and ...
Contributing Partner: UNT Libraries
Permallink:digital.library.unt.edu/ark:/67531/metadc30473/