Geographic Information Systems in Business

Abstract

This article examines the growing use of geographic information systems (GIS) in business for operations management and decision-making activities. The basic functions of GIS are reviewed and other technologies that GIS can be integrated with to create new applications are explained. Industries that are using GIS applications that have resulted in energy savings and reduced emissions are examined. Concerns about privacy protection and laws that govern the use of data that GIS and related technologies can produce are also reviewed.

Overview

Geographic information systems (GIS) were once the tools of scientists and geographers but have rapidly become a valuable tool for operations management and decision-making in several industries. The ability to integrate GIS technology with other technologies, including the Global Positioning System (GPS), cell phones, mobile computing devices, and radio frequency identification tags (RFID), has helped expand the use of GIS (Chan & Williamson, 1999; "GPS and GIS," 2003).

These technologies have been integrated to help create tools for use in logistics management, transportation services, and natural resources management. Applications have also been developed for public utilities design and management (Acharya & Kaufholz, 2008), health care (Foody, 2006), marketing, agriculture, financial services and banking, urban planning (Roman, 2006), and even the insurance industry (Chan & Williamson, 1999; Hildreth, 2007). Military operations are also being aided with a wide array of GIS applications (Pincevičius, Baušys, & Jankauskas, 2005).

The Basic Functions of GIS. GIS provides three core abilities that can be integrated or combined with other computer-based or computer-supported applications:

  • The ability to manage data within a spatial framework,
  • To perform spatial analyses of the relationship between data elements within the framework, and
  • Present the results of the analysis in a visual manner (Chan & Williamson, 1999).

Spatial Analysis. GIS data is maintained by sets of spatial data that can be used to depict layers on a map. There can be, for example, a layer for rivers, a layer for roads, and a layer for zip codes within each geographical boundary. A layer can consist of one or several different features that are shown on the map, including points, lines, or boundaries.

The management of spatial data is performed through a database function. Database technology has been used in information systems for several decades. In traditional database applications, such as one that provides inventory management for a department store, there is a record for every item purchased or sold by the store. The status of that item along with descriptions, prices, universal product codes, and other information is stored in the database. In GIS, the records in the database represent points in a geographical area along with geographic attributes and descriptors of other characteristics of the points.

Spatial analysis is performed by analyzing the relationship between various geographic points in the database. In the past many people relied heavily on printed paper maps to show streets or the topography of a geographical area. They would mentally combine the information on the map with knowledge from other sources including personal experience with the area, or written or verbal instructions on how to navigate to a specific location. This was typically how an individual would personally visualize how to accomplish their goal. With GIS, the combining of data and visualization is performed by the system.

In numerous situations map-based presentations of GIS data is the most effective way to format and present information in a readily usable form because maps are easier to interrupt than tables or charts. GIS can also provide various cartographic functions including automatic symbolization based on values of data, automatic text placement, contouring, or surface fitting. In addition some advanced GIS applications can even provide three-dimensional mapping ability for multiple dimensional data.

In GIS, spatial analysis is performed by combining a wide variety of data sets that provide information for every geographic point in the system. However, the key to making the analysis of several data sets useful is to present the results in a visual manner, and again, a map is one of the most popular forms of visualization. In-vehicle navigation systems combine GIS with other enabling technologies. This combination supports navigation with a map shown on a small computer or smartphone screen along with additional information that helps drivers navigate or find a specific address.

Companies that have the need to manage high-intensity and high-volume logistics operations were among the first to push GIS beyond its basic geographical analysis abilities. The Corporate Transportation Department of Champion International and Federal Express (FedEx) both faced such challenges and in the 1990s started implementing GIS solutions for logistics management. These applications and the companies that pioneered them helped to push GIS into more widespread use and establish the need for people trained in GIS disciplines (Gates, 1997).

Applications

Energy Conservation & Environmental Protection. GIS is used in numerous natural resource management operations both by government agencies and private companies. As GIS applications were expanded, analysts found many ways in which GIS tools could be used to accomplish planning, management, and control activities. Many of these efforts also resulted in the conservation of energy, reduced emissions, an overall reduction in the environmental impact of human activity and thus the protection of natural resources (Tang & Liu, 2016; Zeng & Zhou, 2001).

Reducing Gasoline Consumption & Emissions. GIS combined with GPS technology can help fleet managers minimize drive time, reduce fuel expenditures, and save on vehicle wear and tear (Feldman & Feldman, 2006). In addition, automated vehicle location systems have allowed fleet managers to track the location of vehicles and provide decision support for dispatching the vehicle to a new location with both speed and accuracy (Faghri & Hamad, 2002; Al-Bayari & Sadoun, 2005).

GIS/GPS technologies have been useful in collecting, storing, and analyzing data to help manage congestion on city streets and highways. However, the development of accurate GIS/GPS travel-time forecasting applications is especially complex and requires that spatial analysis simultaneously using many geospatial variables (You & Kim, 2007).

Urban planners, road builders, and public utility managers can also use GIS applications to help them plan, construct, and maintain systems that are essential to support complex national infrastructures. Planning can be made more effective, construction costs can be reduced and still support the implementation of more effective systems, and maintenance efforts can be made more efficient (Hasse, 2004). All of these things combined can help reduce fuel consumption and thus undesirable vehicle emissions (Pedersen, 2004; Cobbs, 2006; Aishibani, 2008).

In addition, GIS can assist developers in determining the optimum location of retail stores, bank branches, restaurants, and other service facilities to serve the maximum number of customers at the lowest costs. This helps the developers to select locations, but it also aides the consumer by reducing their required travel time and fuel consumption to obtain the services they are seeking (Byrom, 2001).

Travelers also benefit from GIS applications that help to personally navigate. In-vehicle navigation systems have become essential accessories in delivery vehicles, transportation providers, and private automobiles. Along with smart cars, many large cities are also developing smart highways, or intelligent transportation systems (ITS) that monitor and manage traffic flow (Hou, Zhou, & Du, 2016). This type of technology-based advanced traffic management system (ATMS) has helped to reduce congestion as well as fuel consumption, and can also help commuters save considerable travel time (Greengard, 2015). In addition, the combination of smart cars and smart highways can help reduce accidents and help keep automobile insurance rates lower (Thompson, 2009).

Physically impaired people can access maps that indicate the least obstructed route in an urban area when moving in a wheelchair. These applications can reduce their travel time and fuel consumption and decrease frustration and anxiety when traversing urban environments (Beale, Field, Briggs, Picton, & Matthews, 2006; Neis, 2015).

Precision Farming Saves Energy & Improves Yield. Through the integration of GIS, GPS, and other technologies, applications have been developed to make agricultural business operations more efficient and more cost effective. Farmers can produce more crops through the use of precision cultivating, planting, fertilizing, pest control, and harvesting methods. Precision farming methods also use less energy (Daniel, 2015; Roberson, 2007).

In the planting process, it is important to place the proper number of seeds per row foot. Precision farming equipment aids in planting seeds by controlling the amount of seed dispensed based on the previous year's yield from a specific part of the field (Roberson, 2007). When the harvest is done, a yield monitor is used to record the harvest for every foot of the field and data is put back into the GIS database for analysis and to guide future seeding and fertilizing activities (Yancy, 2005).

To determine the best application of pesticide and fertilizer products, agronomists have generally sampled soil at selected locations in crop fields to develop an average fertilizer level for the field. New precision farming technologies enable farmers to go beyond an average fertilizer application by developing a GIS/GPS-based grid pattern of the field and testing each grid. Then appropriate levels of fertilizer are applied to improve crop yield at a more precise level. This reduces the consumption of fertilizer in some areas and increases it in other areas of the field in order to have a maximum yield (Cline, 2005).

Ecotourism Supported by GIS/GPS Technologies. Ecotourism provides numerous opportunities for people to travel to destinations that offer both geographical and wildlife viewing opportunities and can help to support the preservation of these areas. Ecotourism is the fastest growing subsection of tourism, expanding to almost 35 percent per year since the 1990s and is projected to see over 1.5 billion international ecotravelers by 2020 (Agrawal, 2012). Ecotourism is growing at three times the rate of the tourism sector as a whole. This is requiring more knowledgeable workers to sustain the growth trends and computer technology skills have become very valuable in the field.

GIS combined with other technology supports the development and ongoing management of ecotourism enterprises by allowing staff to locate, track, and visually display the location of wildlife activity. Ecotourists and their guides can be directed to areas where the most activity is taking place as animals congregate or migrate. This approach reduces the consumption of fuel while maximizing exposure for the ecotourist and minimize travel into wildlife habitats (Lai, Li, Chan, & Kwong, 2007).

Issue

Seeking Privacy in a Spatially Analyzed World. Like many other communications and computing technologies, GIS has been disparaged as a technology that can be used to invade personal privacy (Curtis, Mills, & Leitner, 2006; Klinkenberg, 2007). Database systems have made it easy to compile and store vast amounts of information about people; their buying habits, their incomes and jobs, and even their hobbies. A large amount of these types of data are used in market analysis or in marketing efforts. This data is tracked from consumer behavior. The average person with one or more credit cards leaves a trail of information every time they use a card. When GIS are added to the technology arsenal, data analysts can amass data from many sources and perform spatial analysis and create a new view of communities, social groups, families, and individuals (Trunick, 2016).

Data that can be used in GIS applications can come from a wide variety of sources, public and private. Many governments have defined the conditions under which government agencies can create and disseminate spatial data. Essentially, government agencies have created a marketplace of unregulated monopoly suppliers of spatial data. There may very well be a struggle for power surrounding the development of data sets as well as the ownership of the new information services between agencies and national governments around the world. There also may be problems in the future in protecting sensitive information in those databases. Much of this data can be used very constructively but it is important to protect privacy while still performing useful research for policy making, planning, or operations management (McLafferty, 2004).

Privacy advocates have worked for decades to make their case about the protection of personal information and data. Over the last decade the warnings of privacy advocates have been realized as several large companies have had their computer systems hacked and data on millions of people have been compromised. One very dramatic case involved eleven perpetrators who allegedly hacked nine major retailers in the United States and stole over 40 million credit and debit card numbers (Brannen, 2008).

Privacy and the protection of privacy is not equally assured or enforced around the world. In the European Union (EU) privacy is a fundamental human right (Pierson, 2009). France, Germany, and the United Kingdom were pioneers in establishing national policies to protect privacy in the high-tech age. The EU established requirements for member countries as well as prospective members in the middle 1990s. Many countries around the world have followed the EU's requirements. However, the United States has taken a considerably limited approach the protection of privacy (Cooper, 2009).

At the federal level in the United States there are several laws that were enacted to protect the privacy of different types of data. These include the Family Education Rights and Privacy Act (FERPA), the Health Insurance Portability and Accountability Act (HIPAA), the Federal Trade Communication Act (FTCA), the Children's Online Privacy Protection Act (COPPA), and the Graham-Leach-Bliley Act (Coakley, 2009). Most US states have also passed privacy protection laws. State laws address security breaches of corporate databases, consumer notification requirements when breaches occur, security freeze laws which allow consumers to request a freeze on their credit report in identity theft cases, and social security number protection. Laws vary from state to state and many new laws or amendments to existing laws surface in each state legislature every year.

Breaches, compromises, misuse of data, unauthorized and inappropriate use of data continue even though there are numerous laws in place to protect privacy. As communications technology and computer applications continue to evolve, they provide more ways to track, collect, and analyze data about people. These technologies are emerging quickly and laws to protect the privacy of individuals are not keeping pace with development of technology.

One concern that many legal analysts have is that GPS data, or data that could indicate where a person is or has been, remains unprotected by the Fourth Amendment of the United States Constitution. If this remains the case, law enforcement authorities, employers, or others could monitor the movements of individuals. The GPS data can be used with other spatial data in GIS, thus revealing the habits and private lives of individual citizens (Hutchins, 2007).

Conclusion

GIS applications and the spatial analysis and visualization capabilities it provides has created new ways to compile, analyze, and use data in operations management and business decision making. GIS applications are also becoming part of the basic tool set of numerous disciplines, and careers in GIS exist in numerous fields. As GIS applications were expanded, analysts found many ways in which GIS tools could be used to accomplish planning, management, and control activities. One of the benefits that emerged from these efforts was the conservation of energy and reduced auto emissions. Urban planners and developers can also use GIS to better plan communities for conservation and quality of life.

The speed at which GIS and related technologies are being integrated and new applications are being developed has many privacy advocates concerned about the protection of personal information and data. Over the last decade the warnings that privacy advocates have issued have been realized as security breaches of computer based data continue to grow in scope and frequency and individual privacy is compromised. The privacy issues are not going to be settled quickly, especially in the United States, which has a taken a considerably limited approach the protection of privacy (Cooper, 2009).

Terms & Concepts

Fleet managers: Individuals responsible for scheduling, dispatching, and controlling fleets of automobiles, taxis, trucks, or other vehicles.

Global Positioning System (GPS): A satellite-based system that supports location determination using longitude, latitude, and altitude coordinates..

In-vehicle navigation systems: Integrated computer, communications, and visualization systems that assist drives in navigating.

Intelligent transportation systems: A system of integrated computer, communications, monitors, sensors, and software applications that help to manage traffic flow in urban areas.

Radio frequency identification (RFID): A system which uses a small computer chip that can be attached to or embedded in a shipped item to identify the item and track its location.

Spatial analysis: The analysis of geographical points in relationship with other points along with characteristics about a specific location.

Travel-time forecasting: The analysis of the travel times and best routes of travel from one point to another, most often in urban areas.

Visualization: The visual presentation of spatial data most often accomplished using a computer generated map that is presented on an electronic display such as a monitor or cell phone.

Bibliography

Acharya, A., & Kaufholz, R. (2008). More than mapping. Utility Week, 29, 28-28. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=33042048&site=ehost-live

Aishibani, A. (2008). Tracking and control of earthmoving operations using spatial technologies. Cost Engineering, 50, 26-33. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=35881202&site=ehost-live

Al-Bayari, O., & Sadoun, B. (2005). New centralized automatic vehicle location communications software system under GIS environment. International Journal of Communication Systems, 18, 833-846. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=19090869&site=ehost-live

Baviera-Puig, A., Roig-Tierno, N., Buitrago-Vera, J., & Mas-Verdu, F. (2013). Comparing trade areas of technology centres using ‘Geographical Information Systems’. Service Industries Journal, 33(7/8), 789–801. Retrieved November 29, 2013, from EBSCO Online Database Business Source Premier. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=87555082

Beale, L., Field, K., Briggs, D., Picton, P., & Matthews, H. (2006). Mapping for Wheelchair Users: Route Navigation in Urban Spaces. Cartographic Journal, 43, 68-81. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=20197769&site=ehost-live

Brannen, L. (2008). Data theft ring busted. Business Finance, 14, 4-10. Retrieved April 21, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=34383200&site=ehost-live

Byrom, J. (2001). The use of geographical data and information in retail locational planning. Journal of Targeting, Measurement & Analysis for Marketing, 9, 219. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=6613838&site=ehost-live

Chan, T., & Williamson, I. (1999). The different identities of GIS and GIS diffusion. International Journal of Geographical Information Science, 13. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=3860126&site=ehost-live

Cline, H. (2005). GPS/GIS improves vineyard management efficiency. Western Farm Press, 27, 20-30. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=17025146&site=ehost-live

Coakley, M. (2009). Privacy protection, safety and security: A state law enforcement perspective. Computer & Internet Lawyer, 26, 1-9. Retrieved June 22, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=37009941&site=ehost-live

Cobbs, D. (2006). GIS: An invaluable tool for oil & gas. Pipeline & Gas Journal, 233, 48-54. Retrieved June 15, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=22380730&site=ehost-live

Cooper, R. (2009). Protectors of privacy: Regulating personal data in the global economy. Foreign Affairs, 88, 169-170. Retrieved June 22, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=37363158&site=ehost-live

Curtis, A., Mills, J., & Leitner, M. (2006). Keeping an eye on privacy issues with geospatial data. Nature, 441(7090), 150-150. Retrieved June 15, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=20845446&site=ehost-live

Daniel, Q. (2015). Digital agro. Asia Insurance Review, 80-81. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=112185471&site=ehost-live&scope=site

Dickey, A., & Higham, J. (2005). A spatial analysis of commercial ecotourism businesses in New Zealand: A c 1999 benchmarking exercise using GIS. Tourism Geographies, 7, 373-388. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=18755454&site=ehost-live

Faghri, A., & Hamad, K. (2002). Travel time, speed, and delay analysis using an integrated GIS/GPS system. Canadian Journal of Civil Engineering, 29, 325-328. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=10579275&site=ehost-live

Feldman, W., & Feldman, P. (2006). Do you know where your trucks are? Contractor Magazine, 53, 46-60. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=22124576&site=ehost-live

Foody, G. (2006). GIS: health applications. Progress in Physical Geography, 30, 691-695. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=22536865&site=ehost-live

Gates, L. (1997). GIS puts supply chains on the map. Software Magazine, 17, 69. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=9710056825&site=ehost-live

GPS and GIS: Blurring the lines. (2003, May). Civil Engineering (08857024), Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=9649262&site=ehost-live

Greengard, S. (2015). Smart transportation networks drive gains. Communications of the ACM, 58(1), 25-27. doi:10.1145/2686742. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=100097083&site=ehost-live&scope=site

Hasse, J. (2004). A geospatial approach to measuring new development tracts for characteristics of sprawl. Landscape Journal, 23, 52-67. Retrieved June 20, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=13357164&site=ehost-live

Hildreth, S. (2007). On the corporate radar. Computerworld, 41, 23-26. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=24606766&site=ehost-live

Hou, Z., Zhou, Y., & Du, R. (2016). Special issue on intelligent transportation systems, big data and intelligent technology. Transportation Planning & Technology, 39(8), 747-750. doi:10.1080/03081060.2016.1231893. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=118526937&site=ehost-live&scope=site

Hutchins, R. (2007). Tied up in Knotts? GPS technology and the fourth amendment. UCLA Law Review, 55, 409-465. Retrieved June 22, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=30036036&site=ehost-live

Klinkenberg, B. (2007). Geospatial technologies and the geographies of hope and fear. Annals of the Association of American Geographers, 97, 350-360. Retrieved June 15, 2009 from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=25149917&site=ehost-live

Lai, P., Li, C., Chan, K., & Kwong, K. (2007). An assessment of GPS and GIS in recreational tracking. Journal of Park & Recreation Administration, 25, 128-139. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=24993413&site=ehost-live

McLafferty, S. (2004). The socialization of GIS. Cartographica, 39, 51-53. Retrieved June 15, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=s8h&AN=13482813&site=ehost-live

Neis, P. (2015). Measuring the reliability of wheelchair user route planning based on volunteered geographic information. Transactions in GIS, 19(2), 188-201. doi:10.1111/tgis.12087. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=101965364&site=ehost-live&scope=site

Overman, H. G. (2010). “GIS a Job”: What Use Geographical Information Systems In Spatial Economics?. Journal of Regional Science, 50, 165–180. Retrieved November 29, 2013, from EBSCO Online Database Business Source Premier. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=47856142

Ozimec, A., Natter, M., & Reutterer, T. (2010). Geographical information systems-based marketing decisions: effects of alternative visualizations on decision quality. Journal of Marketing, 74, 94–110. Retrieved November 29, 2013, from EBSCO Online Database Business Source Premier. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=54089058

Pedersen, S. (2004). GIS and GPS come down to Earth for utilities. Utility Automation & Engineering T&D, 9, 39-42. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=12856446&site=ehost-live

Pierson, C. (2009). Data breaches highlight the importance of privacy. Financial Executive, 25, 62-63. Retrieved June 22, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=37034818&site=ehost-live

Pincevičius, A., Baušys, R., & Jankauskas, P. (2005). Application of geographical information systems in modelling of military operations. International Journal of Aviation, 9, 36-43. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=18927297&site=ehost-live

Roberson, R. (2007). GPS guidance systems expand capabilities for broad spectrum of farming operations. Southeast Farm Press, 34, 17-20. Retrieved June 15, 2009 from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=27989394&site=ehost-live

Roman, H. (2006). GIS design project: Designing a car-free zone in downtown shopping areas. Technology Teacher, 66, 20-22. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=23485840&site=ehost-live

Tang, Z., & Liu, T. (2016). Evaluating Internet-based public participation GIS (PPGIS) and volunteered geographic information (VGI) in environmental planning and management. Journal of Environmental Planning & Management, 59(6), 1073-1090. doi:10.1080/09640568.2015.1054477. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=114327614&site=ehost-live&scope=site

Thompson, K. (2009). Smart transportation — and what it means for you. National Underwriter / Property & Casualty Risk & Benefits Management, 113, 22. Retrieved June 20, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=40085723&site=ehost-live

Trunick, P. A. (2016). Privacy and geospatial data collection. Point of Beginning, 41(8), 24-25. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=114778997&site=ehost-live&scope=site

Yancy Jr., C. (2005). GPS technology to save farming dollars. Western Farm Press, 27, 23-23. Retrieved June 15, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=16574724&site=ehost-live

You, J., & Kim, T. (2007). Empirical analysis of a travel-time forecasting model. Geographical Analysis, 39, 397-417. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=26612147&site=ehost-live

Zeng, T., & Zhou, Q. (2001). Optimal spatial decision making using GIS: a prototype of a real estate geographical information system (REGIS). International Journal of Geographical Information Science, 15, 307-321. Retrieved June 10, 2009, from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=5171885&site=ehost-live

Suggested Reading

Cheremisina, E., & Lyubimova, A. (2008). Development of integrated GIS applications for nature use management. AIP Conference Proceedings, 1009, 21-27. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=32013254&site=ehost-live

Doran, B., Marshall, D., & McMillen, J. (2007). A GIS-based investigation of gaming venue catchments. Transactions in GIS, 11, 575-595. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=25916606&site=ehost-live

Dunn, C. (2007). Participatory GIS — a people's GIS? Progress in Human Geography, 31, 616-637. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=26765743&site=ehost-live

Garcia, D. (2004). Location, location, location: The GIS toolbox. ICSC Research Quarterly, 11, 33-36. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=23485585&site=ehost-live

Johansson, B. E., Trnka, J., Granlund, R., & Götmar, A. (2010). The effect of a geographical information system on performance and communication of a command and control organization. International Journal of Human-Computer Interaction, 26(2/3), 228–246. Retrieved November 29, 2013, from EBSCO Online Database Business Source Premier. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=48433778

O'Sullivan, D. (2005). Geographical information science: Time changes everything. Progress in Human Geography, 29, 749-756. Retrieved June 15, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=19064341&site=ehost-live

Sadoun, B., & Al-Bayari, O. (2007). On the inclusion of geographic information systems (GIS) in global navigation satellite systems (GNSS). International Journal of Communication Systems, 20, 385-396. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=24091911&site=ehost-live

Senic, V. (2017). The use of geographic information systems in public services. Economic Horizons / Ekonomski Horizonti, 19(3), 227-238. doi:10.5937/ekonhor1703227S. Retrieved February 10, 2018, from EBSCO online database Business Source Ultimate. http://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=127096132&site=ehost-live&scope=site

Simon, R., Fröhlich, P., & Anegg, H. (2007). Enabling spatially aware mobile applications. Transactions in GIS, 11, 783-794. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=27142017&site=ehost-live

Stewart, M. (2005). Tracking cattle in the heartland. Geospatial Solutions, 15, 20-25. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=19801342&site=ehost-live

Teodoro, S., Gustavo, C., Salvador, O., Franciso, E., & Fabian, V. (2008). The use of geographic information technologies in environmental decision-making in the state of Michoacan, Mexico. AIP Conference Proceedings, 1009, 276-276. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=32013261&site=ehost-live

Wang, S., & Zhu, X. (2008). Coupling cyberinfrastructure and geographic information systems to empower ecological and environmental research. Bioscience, 58, 94-95. Retrieved June 10, 2009 from EBSCO online database Academic Search Complete http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=30060232&site=ehost-live

Wealands, K., Benda, P., Miller, S., & Cartwright, W. (2007). User assessment as input for useful geospatial representations within mobile location-based services. Transactions in GIS, 11, 283-309. Retrieved June 10, 2009, from EBSCO online database Business Source Complete. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=24421768&site=ehost-live

Essay by Michael Erbschloe, MA

Michael Erbschloe is an information technology consultant, educator, and author. He has taught graduate level courses and developed technology-related curriculum for several universities and speaks at conferences and industry events around the world. Michael holds a master's degree in sociology from Ohio’s Kent State University. He has authored hundreds of articles and several books on technology.