Kelley A. Crews
Faculty Research Associate — Ph.D., University of North Carolina
Associate Professor of Geography & the Environment
- E-mail: firstname.lastname@example.org
- Phone: 512.232.5909
- Office: CLA 3.424
- Office Hours: By appointment via email
- Campus Mail Code: A3100
BH King and KA Crews, Eds. Forthcoming. Ecologies and Politics of Health. Routledge Press.
T Meyer, KA Crews, K Ross, S Bourquin, D Gibson, and C Craig. 2010. Consultancy to Identify Important Habitats for Key Wildlife in the Western Kgalagadi Conservation Corridor (WKCC). Conservation International, 268pp.
KA Crews. 2010. Remote Sensing and Population-Environment Community Needs, Expert statement (invited) for PERN (Population-Environment Research Network) Cyberseminar, Hosted by Columbia University's Earth Institute.
KA Crews and A Moffett. 2009. Importance of input classification to graph automata simulations of forest cover change in the Peruvian Amazon (Chapter 9). Reforesting Landscapes: Linking Pattern and Process, Eds H Nagendra and J Southworth. Springer Press.
KA Crews and SJ Walsh. 2009. Remote Sensing and the Social Sciences (Chapter 31). Handbook of Remote Sensing, Eds T Warner, D Nellis, and G Foody. Sage Publications.
S Sarkar, KA Crews, KR Young, CD Kelley, and A Moffett. 2009. A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon. Environment and Planning B: Planning and Design 36:300-318.
AL Neuenschwander and KA Crews. 2008. Disturbance, Management, and Landscape Dynamics: Wavelet Analysis of Vegetation Indices in the Lower Okavango Delta, Botswana. Photogrammetric Engineering and Remote Sensing 74(6): 753-764.
AL McCleary, KA Crews-Meyer, and KR Young. 2008. Refining Forest Classifications in the Western Amazon Using an Intra-Annual Multi-Temporal Approach. International Journal of Remote Sensing 29: 991-1006.
KA Crews-Meyer. 2008. Landscape dynamism: disentangling thematic versus structural change in northeast Thailand. Land use change: science, policy and management, Eds MJ Hill and RJ Aspinall. CRC Press: pp 99-118.
KA Crews and MF Peralvo. 2008. Segregation and Fragmentation: Extending Pattern Metrics Analysis to Spatial Demography. Population Research and Policy Review, special issue on Spatial Demography, Ed P Voss 27: 65-88.
J Postigo, KR Young, and KA Crews. 2008. Change and Continuity in a a Shepherd Community in the High Peruvian Andes. Human Ecology 36:535-551.
Syllabi, Fall 2011
GRG 356T - Spatial Sciences Practicum
The class is an applied, intensive computer- and field-based course in landscape assessment leveraging the spatial sciences, including but not limited to fieldwork (e.g., vegetation transects or Global Positioning Systems) and GIS / remote sensing / pattern analysis / spatial analysis.
Typically one-half of each week's course time will be allocated to learning standard protocols and supporting theory with the other half spent performing computer- or field-based analysis. Substantial additional lab hours will be required outside of class for successful completion of labs and projects. The goal of the course is to provide practical experience in start-to-finish landscape assessment. No prior knowledge is presumed, but students without an introductory course in GIS or remote sensing should anticipate spending extra time building familiarity with the software used. In the first portion of the semester, students will complete weekly labs designed to build out a set of spatial science skills on provided datasets; the second portion of the course will then apply those skills to a project culminating in a poster suitable for presentation at a regional or national conference due in analog and digital form by 5pm Wednesday, December 7 and presented in class during the final exam time of 9:00 – 12:00 noon Thursday, December 8. NO LATE ASSIGNMENTS OR MAKE-UPS ARE ALLOWED.
- Files Attached
- Syllabus & Schedule
UGS 303 - Our Global Backyard
Understanding the pressures on the world's environments and people is of paramount importance to maintaining global resources for current and future generations. Many of the most challenging environmental conflicts today present transboundary problems, where either the source of environmental bad or impacted peoples straddle administrative and political boundaries. Simultaneously many human populations around the world suffer from food and political security issues that seemingly negate their ability to engage with global environmental concerns despite the clear linkages between human health and environmental quality. Meanwhile, the world's population and consumption continue to increase, though the disparity of living quality among peoples and countries also increases. This dilemma only heightens the importance and urgency of addressing coupled environmental issues such as global warming and industrialization, agricultural production and water quantity/quality shortages, and ecosystem quality and human health. Understanding global environmental problems can be contextualized as issues that have both local impacts as well as opportunities for local solutions. First we will build global geographic literacy and work to understand differences in developed versus developing states. Second, we will turn our attention inward to assess US and Texas on the same issues, building an understanding of the similarities, differences, and potential synergies of local to global human-environment interactions. This course will tackle the science and technology of understanding these reciprocal through a series of case studies in both industrialized and developing states, emphasizing throughout the impacts of globalization on bringing Texas to the world and the world to our own backyard.
- Files Attached
- Syllabus & Schedule