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A B C D E F G H I K L M N O P R S T U V W
DA-24 - GIS&T and Marketing

Marketing is about communicating, delivering, and exchanging goods and services that are desired by customers, clients, and the public alike. They identify the groups the enterprise is striving to serve, developing offerings which match their needs, and establishing exchange relationships which satisfy those needs while accomplishing enterprise objectives of profit, service and/or social impact. Marketers use their planning processes to scan the relevant environment for opportunities, select target markets with unmet or insufficiently met needs, and design marketing mix strategies to serve them. In all of these activities, the qualitative and quantitative measures of location and geography are key.  Delivery of marketing mix strategies relies on tasks such as marketing research, market segmentation and customer profiling, all of which GIS supports.  In addition, specialized marketing functions and emerging technologies also benefit from location analytics resources. 

DA-32 - GIS&T and Natural Resource Management

Geographic Information Systems (GIS) is a geospatial technology that has matured with the help of natural resource management applications. Since its early beginnings as an extension of cartography, GIS has been used to capture, manipulate, store, analyze and manage data. GIS has matured as additional sciences began to adopt and apply it to multidisciplinary problems. In the mid-90s, much of the emphasis moved to desktop GIS making the access and use more mainstream and capable on personal desktop computers. Government agencies with more available and distributed datasets through the internet enabled more applications and use across disciplines because of the access. Soil scientists, wildlife biologists, hydrologists, engineers, planners, and others could now pursue spatial problems efficiently and effectively. More and more advances were being made in the sciences due to the new technology. The following discussion will focus on the use and applications of GIS for natural resource management. Areas covered in this review will be for forestry, watershed analysis, wildlife management, and landscape analysis. First a background of the applications will be introduced followed by a discussion of their applicability and uses.

DA-35 - GIS&T and Public Health

Contemporary environmental problems, global climate change, globalization, and urbanization have imposed severe impacts on human health. Meanwhile, disparity became a major concern in healthcare policy making and resource allocation. Within this context, GIS have been rapidly expanding and deepening their applications in the domain of public health. GIS applications in public health can be classified into three broad categories: 1) spatial/spatiotemporal modeling of specific diseases, including chronic diseases and communicable diseases, as well as their associations with environmental risks; 2) spatial/spatiotemporal modeling of environmental exposures from physical, behavioral, and/or socioeconomic environments; and 3) studies on healthcare services, including assessment of geographic access to healthcare facilities, investigation of disparity in the access, and optimization of resource allocation. The boundaries between these divisions are not clear-cut. Meanwhile, applications in public health have also been pushing the frontiers of GIS research on spatiotemporal modeling, high-performance computing, uncertainty, big data of human mobility, and geospatial privacy.

DA-10 - GIS&T and Real Estate

Real Estate GIS concerns all dimensions of real estate that can be better understood or operationalized by knowing its geospatial context. Improving real estate decisions via GIS and related geospatial technologies is now expected by management of all industries, as well as home-renters and home-buyers in the residential market. Real Estate GIS Specialists are individuals who have applied knowledge and skills across the disciplines of business geography, the practice of real estate, and the application of geospatial technologies to support decision making in this realm. There is a good reason why the mantra of “location, location, location” is a long-standing tenet within the business of real estate.

DA-38 - GIS&T and Retail Business

Where should a retail business occur or locate within a region?  What would that trade area look like?  Should a retail expansion occur and how would that affect sales of other nearby existing locations?  Would a new retail location have the right demographic or socio-economic customer base to be profitable?  These are important questions for retailers to consider.  Within the evolving landscape of GIS, there is more geospatial data than ever before about the potential customer.  In retail, the application of maps and mapping technology is growing to include commercial real estate, logistics, and marketing to name a few.  There has been an increased momentum across commercial applications for geospatial technologies delivered in an easy to comprehend format for a variety of end users.  

DA-11 - GIS&T and the Digital Humanities

This entry reviews the use of GIS&T in the digital humanities and in the spatial humanities, highlighting opportunities for interdisciplinary collaborations between GIScientists and humanities scholars, including in history, archeology, and literary studies. Challenges are highlighted as well, including epistemological and ontological differences between the spatial, abstract, and quantitative view of the world of GIS&T and GIScience and the humanities emphasis on place and qualitative methods. The potential of mixed methods to bring together different epistemological perspectives is discussed in this context. Scale is identified as a promising geographical framework for humanities research, both in its metaphorical aspects and as intended in cartography. Examples of the use of GIS&T and GIScience in the humanities are provided, including historical GIS, geohistorical gazetteers, archeology and GIS, and GIS in literary studies. The entry is framed historically, with reference to the work of Bakhtin, Braudel, and Hägerstrand, who are early influencers of the spatial turn in the humanities. Among the research directions briefly explored are the GIS of place, deep maps, and qualitative GIS, which exemplify how the collaboration between GIScience and the humanities can be strengthened.

DA-33 - GIS&T in Urban and Regional Planning

Professionals within the urban and regional planning domain have long utilized GIS&T to better understand cities through mapping urban data, representing new proposals, and conducting modeling and analysis to help address urban problems. These activities include spatial data collection and management, cartography, and a variety of applied spatial analysis techniques. Urban and regional planning has developed the sub-fields of planning support systems and Geodesign, both of which describe a combination of technologies and methods to incorporate GIS&T into collaborative planning contexts. In the coming years, shifting patterns of global urbanization, smart cities, and urban big data present emerging opportunities and challenges for urban planning professionals.

KE-24 - GIS&T Positions and Qualifications

Workforce needs tied to geospatial data continue to evolve.  Along with expansion in the absolute number of geospatial workers employed in the public and private sectors is greater diversity in the fields where their work has become important.  Together, these trends generate demand for new types of educational and professional development programs and opportunities. Colleges and universities have responded by offering structured academic programs ranging from minors and academic certificates to full GIS&T degrees.  Recent efforts also target experienced GIS&T professionals through technical certifications involving software applications and more comprehensive professional certifications designed to recognize knowledge, experience, and expertise.

AM-81 - GIS-Based Computational Modeling

GIS-based computational models are explored. While models vary immensely across disciplines and specialties, the focus is on models that simulate and forecast geographical systems and processes in time and space. The degree and means of integration of the many different models with GIS are covered, and the critical phases of modeling: design, implementation, calibration, sensitivity analysis, validation and error analysis are introduced. The use of models in simulations, an important purpose for implementing models within or outside of GIS, is discussed and the context of scenario-based planning explained. To conclude, a survey of model types is presented, with their application methods and some examples, and the goals of modeling are discussed.

AM-22 - Global Measures of Spatial Association

Spatial association broadly describes how the locations and values of samples or observations vary across space. Similarity in both the attribute values and locations of observations can be assessed using measures of spatial association based upon the first law of geography. In this entry, we focus on the measures of spatial autocorrelation that assess the degree of similarity between attribute values of nearby observations across the entire study region. These global measures assess spatial relationships with the combination of spatial proximity as captured in the spatial weights matrix and the attribute similarity as captured by variable covariance (i.e. Moran’s I) or squared difference (i.e. Geary’s C). For categorical data, the join count statistic provides a global measure of spatial association. Two visualization approaches for spatial autocorrelation measures include Moran scatterplots and variograms (also known as semi-variograms).

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