Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map

A revision of Openshaw and Abrahart's seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field's development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What's New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw's work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

The Urban Data Management Society has organised international symposia at various locations throughout Europe since 1971, and UDMS 2013 marks its second visit to London. From its outset, UDMS has highlighted changes and trends in urban data and urban data management. However, the rate of emergence of new data and new technologies has never been as rapid as it is now. Trends including smart cities, smart phones, social media, 3D modelling, volunteered geographic information, building information modelling and the internet of things all generate information about the urban environment and the people who live there. Additionally the volume of data generated in part through such techniques has in turn resulted in research into big data how best to handle the data, analyse it, visualise it in different contexts. Thus the challenges and opportunities facing those working with these new types of urban data are manifold. Given this, the general theme for UDMS 2013 was "Recent and Emerging Trends in the Management of New Urban Data."

This book contains 20 papers selected from the long papers that were submitted for UDMS 2013. Each paper was reviewed by three independent academic reviewers from around the world, both for academic quality and for clarity in communication. The book is intended to be suitable for different readers from city planners and architects to academics, students and policy makers and those involved in urban planning.

China Satellite Navigation Conference (CSNC) 2019 Proceedings presents selected research papers from CSNC2019 held during 22nd-25th May in Beijing, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2019, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.

Satellite imagery and data are widely used in public health surveillance to provide early warning of disease outbreaks and for averting pandemics. Convergence of these technologies began in the 1970s and has gained wide acceptance in the 21st Century. Environmental Tracking for Public Health Surveillance focuses on the expanding use of satellite sensor imagery and long-term spectral measurements for assessing and modelling Earth's environments in context of public health surveillance. It addresses vector-borne, air-borne, water-borne, and zoonotic diseases, and explores analytical methods for forecasting environmental conditions and their potential for consequent disease outbreaks. Infectious and contagious diseases are of particular interest in this volume because once parasite-vector-human host pathways are triggered by favourable biological circumstances, pandemic diseases can spread to global scale in a matter of hours. The chapters advance readers through three sets of material. Part I reviews the 1970-2012 history of satellite Earth-science surveillance technology that led to linking natural environments to human diseases, and more generally to public health applications. Part II describes specific infectious and contagious diseases and the threat of emerging and re-emerging diseases. Part III explores the kinds of satellite data, modelling, and electronic information systems being developed to expedite health intercessions and responses at local to regional and global scales of reference. Equally important are the extensive reference sections for chapters in Parts II and III. For readers interested in tracking the development of Earth-science technology, these constitute a thorough entree to both the health and environmental literature. The chapters are written jointly by experts in both the health and Earth-science technologies. Each chapter is accompanied by an extensive list of citations to provide background and validation of the current state-of-the-art for a variety of high-interest human diseases and associated health and well-being issues. The importance of day-to-day weather patterns, the impacts of severe weather events and longer-term climate cycles form the basis for developing information systems that meet goals and expectations of national and international health monitoring bodies. Environmental Tracking for Public Health Surveillance provides a state-of-the-art overview on how environmental tracking data from satellite, airborne, and ground-based sensors are being integrated into appropriate geophysical and spatial information system models to enhance public health surveillance and decision-making from local to global levels, and is intended primarily for a cross-disciplinary professional audience consisting of public health decision-makers, spatial data analysts, modelers, Earth observation specialists, and medical researchers.

This book draws on author's wealth of knowledge working on numerous projects across many countries. It provides a clear overview of the development of the SDI concept and SDI worldwide implementation and brings a logical chronological approach to the linkage of GIS technology with SDI enabling data. The theory and practice approach help understand that SDI development and implementation is very much a social process of learning by doing. The author masterfully selects main historical developments and updates them with an analytical perspective promoting informed and responsible use of geographic information and geospatial technologies for the benefit of society from local to global scales. Features Subject matter spans thirty years of the development of GIS and SDI. Brings a social science perspective into GIS and SDI debates that have been largely dominated by technical considerations. Based on a world-wide perspective as a result of the author's experience and research in the USA, Australia, Canada, Brazil, Peru, China, India, Korea, Malaysia, and Japan as well as most European countries. Draws upon professional and academic experience relating to pioneering UK and European GIS research initiatives. Includes updated historical material with an analytical perspective explaining what was done right, and what didn't work.

Written by an expert in the development of GPS systems with digital maps and navigation, Programming GPS and OpenStreetMap Applications with Java: The RealObject Application Framework provides a concrete paradigm for object-oriented modeling and programming. It presents a thorough introduction to the use of available global positioning data for the development of applications involving digital maps.

The author first describes the different formats of GPS data and digital maps and shows how to use recorded GPS traces to replay and display this data on a digital map. Then, he works through in detail the processing steps of obtaining dedicated data from OpenStreetMaps and how to extract a network for a simple navigation application. For each topic covered GPS data, OpenStreetMaps, and navigation Java code is developed that can easily be adapted to the readers needs and locality.

Finally, all components are put together in a sample computer-game application modeled on the well-known board game, Scotland Yard. The computer game is intended to be a basis from which readers can develop and customize their own application for their desired geographical area. The developed application can be "published" on the Internet and made available for interactive multiplayer competition.

This book provides a fun and interesting way to learn distributed programming with Java and real-world data. Open-source software is available on a companion website at www.roaf.de

This book provides an overview of the latest developments in the fast growing field of tangible user interfaces. It presents a new type of modeling environment where the users interact with geospatial data and simulations using 3D physical landscape model coupled with 3D rendering engine. Multiple users can modify the physical model, while it is being scanned, providing input for geospatial analysis and simulations. The results are then visualized by projecting images or animations back on the physical model while photorealistic renderings of human views are displayed on a computer screen or in a virtual reality headset. New techniques and software which couple the hardware set-up with open source GRASS GIS and Blender rendering engine, make the system instantly applicable to a wide range of applications in geoscience education, landscape design, computer games, stakeholder engagement, and many others. This second edition introduces a new more powerful version of the tangible modeling environment with multiple types of interaction, including polymeric sand molding, placement of markers, and delineation of areas using colored felt patches. Chapters on coupling tangible interaction with 3D rendering engine and immersive virtual environment, and a case study integrating the tools presented throughout this book, demonstrate the second generation of the system - Immersive Tangible Landscape - that enhances the modeling and design process through interactive rendering of modeled landscape. This book explains main components of Immersive Tangible Landscape System, and provides the basic workflows for running the applications. The fundamentals of the system are followed by series of example applications in geomorphometry, hydrology, coastal and fluvial flooding, fire spread, landscape and park design, solar energy, trail planning, and others. Graduate and undergraduate students and educators in geospatial science, earth science, landscape architecture, computer graphics and games, natural resources and many others disciplines, will find this book useful as a reference or secondary textbook. Researchers who want to build and further develop the system will most likely be the core audience, but also anybody interested in geospatial modeling applications (hazard risk management, hydrology, solar energy, coastal and fluvial flooding, fire spread, landscape and park design) will want to purchase this book.

Based on detailed research funded across two continents and involving universities in Argentina, Spain and the UK, this book sets out an innovative, multidisciplinary approach to assessing both environmental and social risks in a given territorial area. Using data from a number of Ibero-American nations, the study combines environmental, socio-economic and geographic factors to construct a set of spatial and technical indicators that measure the social vulnerability and industrial hazardousness of a defined area. Aggregating these indicators in a geographic information system (GIS) allows researchers to assess the potential risk to which a certain area and its population are subject as a result of the environmental deterioration caused by co-located industrial activity.

This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.

The popularity of geography as an academic discipline is partly explained by its relevance to the real world. Spatial analysis uses geographic information and statistical methods for the study of specific applications, ranging from business location analysis to the measurement of inner city deprivation, and when used in conjunction with GIS, visual representations and "what if" scenarios can be created. An increasing number of public and private sector organisations now regard spatial analysis as a valuable problem-solving tool.

Applied GIS and Spatial Analysis focuses on the use of quantitative methods and GIS in applied contexts, demonstrating the wide range of techniques that are used to deal with problems at different spatial scales. It provides readers with a range of global applications from local/national government and business, and is structured to convey the public-private focus of the material.

Arranged in four main parts, Applied GIS and Spatial Analysis covers:

• Geobusiness, which considers applications in the private sector.
• Social Deprivation, a set of chapters commissioned by various local authorities helping to expose different aspects of social problems, especially deprivation and crime.
• Transport and Location, relating to transport networks and location problems.
• National Spatial Planning, which looks at large-scale national social and economic problems, largely funded by government departments.

This book is unique as it concentrates on commercially-sponsored applications of GIS and quantitative geography research methodologies that are undertaken by professional quantitative geographers. Internationally renowned editors and contributors from academic and business consultancies present spatial analysis techniques and the actual process of problem solving, to illustrate the applied nature of contemporary quantitative geography. A wealth of case studies enriches the chapters and exemplifies the practical application of GIS, statistical models, location-allocation models, and networks of flow models.

Applied Spatial Modelling and GIS is essential reading for postgraduates and researchers of Quantitative Geography, GIS, Spatial Modelling and Retail Geography. It is also highly recommended for upper-level undergraduate and MSc students taking modules in GIS and Quantitative Geography, and will be a valuable source of reference for practitioners involved in the use of GIS for private and public sector planning.

Now, more than ever, professionals can benefit from the power of location data, maps, and analytics in healthcare. Health professionals see the importance of the who, what, when, and where of data analytics. The "where" adds a crucial element because good healthcare begins locally and understanding the impacts of place leads to better health. Health professionals recognize the insights gained from visualizing and analyzing location data. Maps, dashboards, apps, and charts can serve as location analytic tools to quantify problems, make predictions, improve operations, assess infrastructure, and make better decisions overall. GIS Jump Start for Health Professionals is a concise workbook that introduces location analytics available in geographic information systems (GIS) to health professionals, medical students, residents, fellows, nursing students, medical researchers, and others interested in health IT and informatics, health-care administration, and health policy. GIS Jump Start for Health Professionals provides hands-on tutorials that introduce the ArcGIS tools and shows how to use web-based data, storytelling apps, and much more. The book includes concepts and short video lectures to improve learning outcomes. Focused lessons get health professionals up and running quickly and experiencing first hand the value of location data, maps, and analytics. Written by Kristen S. Kurland, an award-winning professor at Carnegie Mellon University and co-creator of the GIS Tutorial series, this book can be used as a short course or incorporated into another course. It is also valuable to self-learners who want location technology experience.

Discover the geographic approach to conservation land management and landscape conservation. Geographic information system (GIS) technology offers a comprehensive tool for conservation professionals. A modern GIS gives users a real-time look at their data, locations, and their relationships. When applied to conservation, it reveals dependencies and challenges across multiple environments. Through maps and apps, conservation professionals can observe the field, analyze and organize their data, and collaborate with other organizations and the public on addressing threats and opportunities found. Preserving Our Planet: GIS for Conservation explores a collection of real-life stories about conservation organizations successfully using GIS to meet challenges to biodiversity preservation in our rapidly changing world. The book also includes a section on next steps that provides ideas, strategies, tools, and actions to help you jump-start your own use of GIS for conservation. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Edited by David Gadsden, director of conservation solutions at Esri, and Matt Artz, an Esri content strategist.

The book provides an overview of the state-of-the-art of map construction algorithms, which use tracking data in the form of trajectories to generate vector maps. The most common trajectory type is GPS-based trajectories. It introduces three emerging algorithmic categories, outlines their general algorithmic ideas, and discusses three representative algorithms in greater detail. To quantify map construction algorithms, the authors include specific datasets and evaluation measures. The datasets, source code of map construction algorithms and evaluation measures are publicly available on http://www.mapconstruction.org. The web site serves as a repository for map construction data and algorithms and researchers can contribute by uploading their own code and benchmark data. Map Construction Algorithms is an excellent resource for professionals working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will also find this book a useful tool.

Learn how others modernize workflows, create actionable data, reduce costs, and prepare for new challenges. Location is at the core of many utilities' daily and long-term planning, but it's about more than making a map. It's improving the reliability of your water and energy infrastructure by reducing service interruptions. It's using data analysis to make informed operational decisions, both in the office and in the field. It's strengthening your network safety and security while increasing customer satisfaction. With advancements in smart technologies, location intelligence for utilities management is not just for GIS specialists. In Delivering Water and Power: GIS for Utilities, see how public and private utilities around the world have implemented geographic information systems (GIS) to visualize and analyze data for situational awareness, operational efficiency, and asset management. In this collection of case studies and "how to" guidance, gain an overview of how GIS was used to: Protect customers in Denver through an innovative lead reduction program Streamline asset inspections in the UK Improve emergency response efforts in Puerto Rico Increase solar energy potential and adoption in Dubai Through web apps, online maps, dashboards, and other GIS solutions, utility professionals develop a deeper understanding of network maintenance and performance within a real-world context, increasing operational flexibility, creating a safer environment for workers, and raising customer satisfaction. Discover how GIS and location intelligence modernize utility infrastructure and operations for improved service delivery and management with Delivering Water and Power: Applying GIS for Utilities.

Glaciers and ice sheets have been melting significantly during recent decades, posing environmental threats at local, regional and global scales. Changes in glaciers are one of the clearest indicators of alterations in regional climate, since they are governed by changes in accumulation (from snowfall) and ablation (by melting of ice). Glacier changes have been measured for the last century by traditional field measurements, resulting in long time series for a few glaciers. Remote sensing data and methods, and geographic information systems, provide the means to allow glacier changes to be monitored at a global scale, to be analysed rapidly and to store the results and present information to both scientific and popular audiences in a way which was not possible before the digital revolution. Remote sensing of glaciers began with terrestrial and aerial photography during the middle of the 20th century, but today the discipline embraces a large variety of data types from laser scanner data to very high resolution satellite imagery, which can be applied to the mapping of glacier changes in terms of area, surface zonation or thickness. This book highlights the history of the remote sensing of glaciers, the physics of glaciers and remote sensing of them, and focuses particularly on modern data and methods used by remote sensing specialists and glaciologists. The book presents examples of glacier research carried out, for example in the Alps, Norway, Iceland, Caucasus, Patagonia, Rocky Mountains, Pakistan, Antarctica, New Zealand, and Svalbard.
This book is of interest to specialists and students working in the field of remote sensing, glaciology, physical geography, geology and climate change.

This book provides a thoughtful and rigorous guide to coverage modeling, reviewing essential models, solution approaches, and related applications. Since the early developments of the Location Set Covering Problem and the Maximal Covering Location Problem, models based upon some form of coverage have been extended and applied in a number of areas, helping to improve services offered to citizens of large cities and regions. Examples include trauma care services, transit systems design, cell tower location, and many others. The book not only describes the strengths and weaknesses of currently available models, but also presents details on major developments, including solution procedures and applications, making it well suited both as a reference text and a textbook for graduate level courses.

In recent years 3D geo-information has become an important research area due to the increased complexity of tasks in many geo-scientific applications, such as sustainable urban planning and development, civil engineering, risk and disaster management and environmental monitoring. Moreover, a paradigm of cross-application merging and integrating of 3D data is observed. The problems and challenges facing today's 3D software, generally application-oriented, focus almost exclusively on 3D data transportability issues - the ability to use data originally developed in one modelling/visualisation system in other and vice versa. Tools for elaborated 3D analysis, simulation and prediction are either missing or, when available, dedicated to specific tasks. In order to respond to this increased demand, a new type of system has to be developed. A fully developed 3D geo-information system should be able to manage 3D geometry and topology, to integrate 3D geometry and thematic information, to analyze both spatial and topological relationships, and to present the data in a suitable form. In addition to the simple geometry types like point line and polygon, a large variety of parametric representations, freeform curves and surfaces or sweep shapes have to be supported. Approaches for seamless conversion between 3D raster and 3D vector representations should be available, they should allow analysis of a representation most suitable for a specific application.

In June/July 2008 the Institute for Geoinformation and Cartography at the Vienna University of Technology organized a scientific colloquium in this city, where 15 well-known scientists presented their ideas on research for the upcoming decade. This book contains papers prepared by the participants as well as by other researchers. The eighteen papers in this book reflect the opinion of a core group of Geoinformation scientists about future research topics. Dealing with these topics poses multiple research questions for the coming years

Spatial dimensions need to be properly captured if modeling and engineering techniques are to be successfully applied in addressing environmental problems. The links between the geographical information systems (GIS) that capture this data, simulation modeling, and engineering offer tremendous possibilities for building versatile support systems for managing the environment. GIS, Environmental Modeling and Engineering focuses on using GIS and external models to solve real environmental problems, promoting the critical thinking needed for the effective applications of these systems and their analytical outputs. Divided into three major sections, this textbook first concentrates on defining GIS, identifying how data is structured, and explaining common functionality. The text examines GIS from a technological perspective, exploring the evolution of its scientific basis and its synergies with other technologies within a geocomputational paradigm. The next section explores modeling from a neutral scientific perspective in its role of simulating phenomena, as well as from a more specific perspective in its role within environmental science and engineering. The third and largest section looks at how GIS and simulation modeling are joined. It provides case studies and covers issues such as interoperability, data quality, model validity, space-time dynamics, and decision-support systems. This volume provides seniors and postgraduate students with a structured, coherent text that goes beyond introductory subject matter by enabling readers to think critically about the data acquisition process and the results they get from the technology.

Soil quality is threatened by many human-induced activities, but can also be improved by good land management. In the relatively short history of mankind on earth, the landscape and soils of the world have been drastically modified from their "natural " state. Landscapes altered by man's activities are termed "Anthroscapes" which are inextricably linked to culture and history. The challenges for today's scientists are to devise and implement sustainable land management strategies in order to preserve the land for the benefit of future generations. This book is a valuable compendium of the research experiences so far gained in studies of the context and concept of the "Anthroscape" and highlights the potential future contributions of such research to sustainable development.

This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry.

The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages.

GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.

Remote Sensing of Geomorphology, Volume 23, discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes. As several papers have been published (including paper reviews and special issues) on this topic, this book summarizes the major advances in remote sensing techniques for the analysis of Earth surface morphology and processes, also highlighting future challenges. Useful for MSc and PhD students, this book is also ideal for any scientists that want to have a single volume guideline to help them develop new ideas. In addition, technicians and private and public sectors working on remote sensing will find the information useful to their initiatives.

Sonic Detection and Ranging (SODAR) systems and Radio Acoustic Sounding Systems (RASS) use sound waves to determine wind speed, wind direction, and turbulent character of the atmosphere. They are increasingly used for environmental and scientific applications such as analyzing ground-level pollution dispersion and monitoring conditions affecting wind energy generation. However, until now there have been no reliable references on SODAR and RASS for practitioners in the field as well as non-experts who wish to understand and implement this technology to their own applications.

Authored by an internationally known expert in the design and use of SODAR/RASS technology, Atmospheric Acoustic Remote Sensing: Principles and Applications systematically explains the underlying science, principles, and operational aspects of acoustic radars. Abundant diagrams and figures, including eight pages of full-color images, enhance clear guidelines and tools for handling calibration, error, equipment, hardware, sampling, and data analysis. The final chapter explores applications in environmental research, boundary layer research, wind power and loading, complex terrain, and sound speed profiles.

Atmospheric Acoustic Remote Sensing offers SODAR and RASS users as well as general remote sensing practitioners, environmental scientists, and engineers a straightforward guide for using SODARs to perform wind measurements and data analysis for scientific, environmental, or alternative monitoring applications.

"If we are to solve many of the problems facing us–in the cities, in the wild areas of the earth, in the atmosphere, and the oceans–we shall need the help of skilled users of GIS technology. If readers can master what is in this volume, they will be well started on this enterprise."
–From the Foreword by Jack Dangermond
President of ESRI

Praise for previous editions:

"One of only a small number of texts devoted to the technology of GIS that are truly introductory in nature. . . . Very readable and of moderate length. Those who are real novices to GIS will find this one attractive."
–Computers and Geosciences

"Well-rendered and very clear line drawings . . . well written, with a well-balanced blend of technical/theoretical concepts and more applied facts of GIS."
–Professional Geographer

Geographic Information Systems provides a practical, theory-driven overview of GIS that is supported with clear coverage of basic techniques. This treatment enables readers to understand the broad aspects of GIS without focusing on a specific software or discipline, such as engineering or geography. New features of this Third Edition include: up-to-date information on standardization efforts aimed at facilitating the exchange of ideas and data; technical content that is up to date with current hardware, software, database design, and analytical techniques; and comprehensive cost/benefit guidelines for choosing and evaluating a GIS, including coverage of organizational and technical issues.

Complete with extensive references and links to online resources, Geographic Information Systems, Third Edition, is an exceptional resource for students of GIS, planning, land use, natural resources, civil and environmental engineering, real estate, and wildlife biology.