@article{supak_brothers_bohnenstiehl_devine_2015, title={Geospatial analytics for federally managed tourism destinations and their demand markets}, volume={4}, ISSN={2212-571X}, url={http://dx.doi.org/10.1016/J.JDMM.2015.05.002}, DOI={10.1016/J.JDMM.2015.05.002}, abstractNote={Understanding geospatial demand for destinations can improve management decisions affecting destination planning, marketing, natural preservation, and resident as well as visitor experiences. Visualization and analysis of demand markets are significantly enhanced by the capabilities of Geographic Information System (GIS) technology and help to support management objectives. This study implements traditional desktop GIS as well as a free, web-delivered decision-support tool for tourism planning and marketing to assess ~7.5 million overnight accommodation reservations made for federal recreational facilities between 1999 and 2007. Visitor origin frequency and median travel distance for overnight accommodations are summarized by visitor zip code and by facility. National results indicate: (1) facilities in the west, the Great Lakes and the southern Appalachians regions draw overnight visitors from the greatest median distances; (2) residents in the Northeast have the lowest per-capita utilization; (3) residents within the south-central Midwest and central-west Southern States have the highest percapita utilization and tend strongly toward local overnight reservations. Three selected national park regions are used to illustrate destinations characterized by highly localized utilization (Hot Springs National Park, AR), both local and regional utilization (Yosemite National Park, CA) and regionally to nationally dispersed utilization with few local residents reserving overnight accommodations (Canyonlands National Park, UT). Market profiling derived from local, regional and national customer origin markets can help any tourism destination, including national parks and their gateway communities, make smarter management and marketing decisions.}, number={3}, journal={Journal of Destination Marketing & Management}, publisher={Elsevier BV}, author={Supak, Stacy and Brothers, Gene and Bohnenstiehl, DelWayne and Devine, Hugh}, year={2015}, month={Oct}, pages={173–186} }
 @article{boyina_catts_smith_devine_2017, title={Hydrologic Web-Mapping Application of Hofmann Forest with GIS Approach: Case Study}, volume={22}, ISSN={["1943-5584"]}, DOI={10.1061/(asce)he.1943-5584.0001285}, abstractNote={AbstractIn this study, a hydrologic web-mapping application for North Carolina State University’s Hofmann Forest is developed using geospatial information science (GIS) resources, measured point precipitation, and radar precipitation data obtained from the National Weather Service (NWS). The development of such a web application will enhance the visualization and manipulation techniques for hydrologic modeling. This paper’s main focus is on the various steps involved in the development of the web-mapping application and the hydrologic analysis. The two different interpolation methods, one a deterministic method, inverse distance weighting (IDW), and another, a probabilistic method, Kriging, are used to obtain NWS precipitation estimates at 14 forest rain gauge locations. The eventual goal of this project is to use the rain gauge data from the Hofmann Forest to calibrate the spatial pattern of daily radar estimates for use in research and forest operations; however, the accuracy of radar estimates has yet ...}, number={5}, journal={JOURNAL OF HYDROLOGIC ENGINEERING}, author={Boyina, Ramana Prasad V. and Catts, Glenn P. and Smith, Charlynne T. and Devine, Hugh A.}, year={2017}, month={May} }
 @article{supak_devine_brothers_rozier rich_shen_2014, title={An Open Source Web-Mapping System for Tourism Planning and Marketing}, volume={31}, ISSN={1054-8408 1540-7306}, url={http://dx.doi.org/10.1080/10548408.2014.890153}, DOI={10.1080/10548408.2014.890153}, abstractNote={ABSTRACT Core retail management functions include defining market areas and profiling customers. For tourism enterprises, market areas are geographically dispersed with many customers residing beyond the immediate area surrounding the attraction. Visualization and analysis of these distributed market areas are significantly enhanced by the capabilities of Geographic Information System (GIS) technology and help to support management objectives. Unfortunately, many businesses are unable to utilize GIS due to its complexity and expense. This study develops a decision support tool for tourism planning and marketing that is customized and easy to use, employs open source software to reduce expense, and allows for broad accessibility via web delivery. Users can easily visualize and examine the spatial distribution of their own United States (US) client origins and visitation patterns along with relevant tourism-specific and general demographic information. This functionality can be beneficial in developing or augmenting business plans or marketing strategies, and for informing tourism theory.}, number={7}, journal={Journal of Travel & Tourism Marketing}, publisher={Informa UK Limited}, author={Supak, Stacy Kathleen and Devine, Hugh Alexander and Brothers, Gene Leroy and Rozier Rich, Samantha and Shen, Wenbo}, year={2014}, month={Oct}, pages={835–853} }
 @article{wang_devine_zhang_waldroup_2014, title={Using a GIS and GIS-Assisted Water Quality Model to Analyze the Deterministic Factors for Lead and Copper Corrosion in Drinking Water Distribution Systems}, volume={140}, ISSN={0733-9372 1943-7870}, url={http://dx.doi.org/10.1061/(ASCE)EE.1943-7870.0000816}, DOI={10.1061/(ASCE)EE.1943-7870.0000816}, abstractNote={AbstractVarious physical and chemical characteristics of a water distribution system can provide favorable conditions for lead or copper leaching. This study applied geographic information systems (GIS) and a hydraulic model of distribution systems to test the influences of pipe material, pipe age, water age, and other water quality parameters on lead/copper leaching. This study was based on a study performed at North Carolina State University (NCSU) using spatial analysis and geostatistics analysis to test for lead leaching based on water age and the influence of other water quality parameters. Results of the study indicate that higher levels of first-draw lead concentrations most likely occur in buildings constructed between 1970 and 1986 with copper plumbing systems. A long water age to the building and high water temperature also likely contribute to lead leaching into the drinking water. Switching the disinfectant to free chlorine during the “burn out” period then back to chloramines appear not to ac...}, number={9}, journal={Journal of Environmental Engineering}, publisher={American Society of Civil Engineers (ASCE)}, author={Wang, Z. Michael and Devine, Hugh A. and Zhang, Weidong and Waldroup, Kenneth}, year={2014}, month={Sep} }
 @article{supak_luo_tateosian_fang_harrell_harrelson_bailey_devine_2012, title={Who's Watching Your Food? A Flexible Framework for Public Health Monitoring1}, volume={16}, ISSN={1361-1682}, url={http://dx.doi.org/10.1111/j.1467-9671.2012.01309.x}, DOI={10.1111/j.1467-9671.2012.01309.x}, abstractNote={AbstractBy responding to potentially life‐threatening emergencies such as foodborne illnesses and water contamination, U.S. public health agencies play a vital role in promoting human health and protecting the environment. Local, state, and federal partners must collaborate to strategically plan initiatives, allocate resources, and evaluate emergency response activities. These collaborative decision‐making processes can be improved by using web‐based mapping applications for visualization and analysis. We developed a web‐based GIS framework which is applied to public health data for North Carolina's (NC) Department of Health and Human Services. The application visualizes all state‐regulated food service facilities and supports query and analysis tools crucial for food recalls or radiation contamination tracking. Built with PostgreSQL/PostGIS, GeoServer, and a customized GeoExplorer map viewer, the framework delivers a web‐based mapping tool that is flexible and Open Source. The flexibility of the framework is an important dimension of its scalability, allowing it to be customizable, modular, and portable so that it is easily configurable to support additional research and education initiatives. This approach reverses a trend toward application‐specific web mapping development in Open Source GIS. To demonstrate flexibility, we configured an additional website for forest landowner management to be used by another state agency, the NC Forest Service.}, number={2}, journal={Transactions in GIS}, publisher={Wiley}, author={Supak, Stacy and Luo, Huan and Tateosian, Laura and Fang, Kunsheng and Harrell, Julia and Harrelson, Cris and Bailey, Andrew D. and Devine, Hugh}, year={2012}, month={Apr}, pages={89–104} }
 @article{carr_cheshire_hess_bailey_devine_2011, title={Assessing embedded geospatial student learning outcomes in forestry and natural resources curricula}, volume={109}, number={7}, journal={Journal of Forestry}, author={Carr, J. D. and Cheshire, H. M. and Hess, G. R. and Bailey, D. and Devine, H. A.}, year={2011}, pages={409–416} }
 @article{sitzabee_rasdorf_hummer_devine_2009, title={Data integration of pavement markings: A case in transportation asset management}, volume={23}, DOI={10.1061/(ASCE)0887-3801(2009)23:5(288)}, abstractNote={Effective transportation asset management requires the implementation of tools such as software, hardware, databases, and data collection systems. Pavement markings make up one component in transportation asset management, which are complex networks that require large databases. Typically these databases are maintained in different areas within an agency and are most often incompatible. Combining new and old tools, this paper addresses the need for better data integration and utilization while incorporating current information technologies. Specifically, this paper presents integrated transportation asset management system for estimating the current and future condition of pavement markings. The paper describes the data structure, in the form of a physical model, integrating a pavement marking relational data schema with existing information technology systems. Software was found to be useful in developing the data schema. The software produced an extensible markup language file that is compatible with a variety of existing database structures such as Oracle, SQL, and MS Access. Additionally, the system included an algorithm, which implements the data structure and predictive models to estimate the condition of the asset at any point in time or space on the highway system. Using either measured data or predicted data the system gives managers an opportunity to decide on the best possible condition state of the asset and perform queries or optimizations. Ultimately, managers can develop cost effective strategies for pavement marking asset management.}, number={5}, journal={Journal of Computing in Civil Engineering}, author={Sitzabee, W. E. and Rasdorf, W. and Hummer, J. E. and Devine, H. A.}, year={2009}, pages={288–298} }
 @article{koch_cheshire_devine_2006, title={Landscape-scale prediction of hemlock woolly adelgid, Adelges tsugae (Homoptera : Adelgidae), infestation in the southern Appalachian Mountains}, volume={35}, ISSN={["1938-2936"]}, DOI={10.1603/0046-225X(2006)35[1313:LPOHWA]2.0.CO;2}, abstractNote={Abstract After causing substantial mortality in the northeastern and mid-Atlantic United States, the hemlock woolly adelgid, Adelges tsugae Annand (Homoptera: Adelgidae), has recently invaded the southern Appalachian region. Although general estimates of regional spread exist, the landscape-level dynamics of A. tsugae invasion are poorly understood—particularly factors predicting where the pest is likely to first infest a landscape. We examined first-year infestation locations from Great Smoky Mountains National Park and the Blue Ridge Parkway to identify possible factors. For 84 infested and 67 uninfested sites, we calculated values for a suite of variables using a geographic information system. After identifying significant variables, we applied four statistical techniques—discriminant analysis, k-nearest neighbor analysis, logistic regression, and decision trees—to derive classification functions separating the infested and uninfested groups. We used the resulting functions to generate maps of A. tsugae infestation risk in the Great Smoky Mountains. Three proximity variables (distance to the closest stream, trail, and road) appeared in all four classification functions, which performed well in terms of error rate. Discriminant analysis was the most accurate and efficient technique, but logistic regression best balanced accuracy, efficiency, and ease of use. Our results suggest that roads, major trails, and riparian corridors provide connectivity enabling long-distance dispersal of A. tsugae, probably by humans or birds. The derived classification functions can yield A. tsugae infestation risk maps for elsewhere in the southern Appalachian region, allowing forest managers to better target control efforts.}, number={5}, journal={ENVIRONMENTAL ENTOMOLOGY}, author={Koch, F. H. and Cheshire, H. M. and Devine, H. A.}, year={2006}, month={Oct}, pages={1313–1323} }