Keith C. Clarke

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Keith C. Clarke in 2017 KeithCClarke.jpg
Keith C. Clarke in 2017

Keith Charles Clarke (born December 9, 1955) is a professor of Analytical Cartography and Modelling in the Department of Geography at the University of California, Santa Barbara, USA. [1]

Contents

He is a Fellow of the American Association for the Advancement of Science and his research area is cartography and geographic information science.

Career

Clarke's research has been on dynamic simulation models, spatial analysis and analytical cartography. As of July 2020 Google Scholar lists Clarke as having an h-index of 60 and an i10-index of 136. [2] With a total number of citations of 19396, a key most cited paper reporting the first fully operational Urban Cellular Automaton Computer Model in 1997, counts 1714 citations, [3] his second most cited paper introduced in 1998 key innovations in the linkages between cellular automaton (CA) and geographic information system (GIS). [4] His third most cited paper introduced in 2003 pivotal innovation in linkages between spatial metrics, modelling and remote sensing using Ikonos satellite images. [5]

Often used books by practitioners and researchers in GIS, spatial analysis and GIS teaching and research programmes include: Maps and Web Mapping, [6] Getting Started with GIS, [7] and Analytical and Computer Cartography. [8] He was the North-American Editor of the International Journal of Geographical Information Systems.

Clarke is credited for producing one of the most used operational urban computer models—SLEUTH. [9] SLEUTH is a CA, calibrated with Markov chain Monte Carlostochastic modelling, and recently includes genetic algorithm (GA) calibration. A staff member and former Director of the National Center for Geographic Information and Analysis (NCGIA) and a key figure in the development of space/time dynamic urban simulation models, spatial analysis and geographic information systems.

He is a Fellow of the American Association for the Advancement of Science. [10] In 2018 he was awarded by the University Consortium for Geographic Information Science the Carolyn Merry mentoring Award "to recognize an individual who demonstrates exceptional mentoring abilities and practices". [11]

Education

Related Research Articles

<span class="mw-page-title-main">Geographic information system</span> System to capture, manage and present geographic data

A geographic information system (GIS) consists of integrated computer hardware and software that store, manage, analyze, edit, output, and visualize geographic data. Much of this often happens within a spatial database, however, this is not essential to meet the definition of a GIS. In a broader sense, one may consider such a system also to include human users and support staff, procedures and workflows, the body of knowledge of relevant concepts and methods, and institutional organizations.

<span class="mw-page-title-main">Geomatics</span> Geographic data discipline

Geomatics is defined in the ISO/TC 211 series of standards as the "discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information". Under another definition, it consists of products, services and tools involved in the collection, integration and management of geographic (geospatial) data. Surveying engineering was the widely used name for geomatic(s) engineering in the past. Geomatics was placed by the UNESCO Encyclopedia of Life Support Systems under the branch of technical geography.

<span class="mw-page-title-main">Waldo R. Tobler</span> American geographer

Waldo Rudolph Tobler was an American-Swiss geographer and cartographer. Tobler is regarded as one of the most influential geographers and cartographers of the late 20th century and early 21st century. He is most well known for coining what has come to be referred to as Tobler's first law of geography. He also coined what has come to be referred to as Tobler's second law of geography.

<span class="mw-page-title-main">Geoinformatics</span> Application of information science methods in geography, , and geosciences

Geoinformatics is a scientific field primarily within the domains of Computer Science and technical geography. It focuses on the programming of applications, spatial data structures, and the analysis of objects and space-time phenomena related to the surface and underneath of Earth and other celestial bodies. The field develops software and web services to model and analyse spatial data, serving the needs of geosciences and related scientific and engineering disciplines. The term is often used interchangeably with Geomatics, although the two have distinct focuses; Geomatics emphasizes acquiring spatial knowledge and leveraging information systems, not their development. At least one publication has claimed the discipline is pure computer science outside the realm of geography.

A GIS software program is a computer program to support the use of a geographic information system, providing the ability to create, store, manage, query, analyze, and visualize geographic data, that is, data representing phenomena for which location is important. The GIS software industry encompasses a broad range of commercial and open-source products that provide some or all of these capabilities within various information technology architectures.

Geovisualization or geovisualisation, also known as cartographic visualization, refers to a set of tools and techniques supporting the analysis of geospatial data through the use of interactive visualization.

<span class="mw-page-title-main">Spatial analysis</span> Formal techniques which study entities using their topological, geometric, or geographic properties

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<span class="mw-page-title-main">Field (geography)</span> Property that varies over space

In the context of spatial analysis, geographic information systems, and geographic information science, a field is a property that fills space, and varies over space, such as temperature or density. This use of the term has been adopted from physics and mathematics, due to their similarity to physical fields (vector or scalar) such as the electromagnetic field or gravitational field. Synonymous terms include spatially dependent variable (geostatistics), statistical surface ( thematic mapping), and intensive property (physics and chemistry) and crossbreeding between these disciplines is common. The simplest formal model for a field is the function, which yields a single value given a point in space (i.e., t = f(x, y, z) )

Digital Earth is the name given to a concept by former US vice president Al Gore in 1998, describing a virtual representation of the Earth that is georeferenced and connected to the world's digital knowledge archives.

A spatial decision support system (SDSS) is an interactive, computer-based system designed to assist in decision making while solving a semi-structured spatial problem. It is designed to assist the spatial planner with guidance in making land use decisions. A system which models decisions could be used to help identify the most effective decision path.

<span class="mw-page-title-main">Geography</span> Study of lands and inhabitants of Earth

Geography is the study of the lands, features, inhabitants, and phenomena of Earth. Geography is an all-encompassing discipline that seeks an understanding of Earth and its human and natural complexities—not merely where objects are, but also how they have changed and come to be. While geography is specific to Earth, many concepts can be applied more broadly to other celestial bodies in the field of planetary science. Geography has been called "a bridge between natural science and social science disciplines."

Charles Dana Tomlin is an author, professor, and originator of Map Algebra, a vocabulary and conceptual framework for classifying ways to combine map data to produce new maps. Tomlin's teaching and research focus on the development and application of geographic information systems (GIS). He is currently a professor at the University of Pennsylvania School of Design and an adjunct professor at the Yale School of Forestry and Environmental Studies, having also taught at the Harvard Graduate School of Design and the Ohio State University School of Natural Resources. His coursework in Landscape Architecture has extensively included GIS and cartographic modeling applications.

Bin Jiang is a professor in geographic information science, geographic information systems or geoinformatics at the University of Gävle, Sweden. He is affiliated to the Royal Institute of Technology Stockholm (KTH) through the KTH Research School at Gävle. He has been coordinating the Nordic Network in Geographic Information Science (NordGISci), and has organized a series of NordGISci summer schools for the Nordic young researchers. He is the founder and chair of the International Cartographic Association Commission on Geospatial Analysis and Modeling, and has established an ICA workshop series on the research topic. He is also an associate editor of the international journal: Computers, Environment and Urban Systems (Elsevier). He has developed the Head/tail Breaks a new classification for data with a heavy-tailed distribution.

<span class="mw-page-title-main">Michael Batty</span> British urban planner

Michael Batty is a British academic currently appointed as Bartlett Professor of Planning in The Bartlett at University College London. His work spans the fields of urban planning, geography and spatial data science. He has been Director—now Chairman—of the Centre for Advanced Spatial Analysis, set up when he was appointed to UCL in 1995. His research and the work of CASA is focused on computer models of city systems. He was awarded the William Alonso Prize of the Regional Science Association in 2011 for his book Cities and Complexity, the same prize a second time for his book The New Science of Cities in 2017–2018, the University Consortium GIS Research Award in 2012, and the Lauréat Prix International de Géographie Vautrin Lud, the so-called 'Nobel for geography', in 2013. In 2015, he was awarded the Founder's Medal of the Royal Geographical Society and in 2016, the Gold Medal of the Royal Town Planning Institute (RTPI). He also received the Senior Scholar Award of the Complex Systems Society in September 2016.

The Centre for Advanced Spatial Analysis (CASA) is a research centre at University College London (UCL), which specialises in the application and visualisation of spatial analytic techniques and simulation models to cities and regions. It is a constituent department of The Bartlett Faculty of the Built-Environment.

The Harvard Laboratory for Computer Graphics and Spatial Analysis pioneered early cartographic and architectural computer applications that led to integrated geographic information systems (GIS). Some of the Laboratory's influential programs included SYMAP, SYMVU, GRID, CALFORM, and POLYVRT. The Laboratory's Odyssey project created a geographic information system that served as a milestone in the development of integrated mapping systems. The Laboratory influenced numerous computer graphic, mapping and architectural systems such as Intergraph, Computervision, and Esri.

<span class="mw-page-title-main">Technical geography</span> Study of using and creating tools to manage spatial information

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<span class="mw-page-title-main">Internet GIS</span> Internet technologies regarding spatial data

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Alexander Stewart Fotheringham is a British-American geographer known for his contributions to quantitative geography, geographic information science (GIScience), and spatial analysis. He holds a Ph.D. in geography from McMaster University and is a Regents professor of computational spatial science in the School of Geographical Sciences and Urban Planning at Arizona State University. He has contributed to the literature surrounding spatial analysis and spatial statistics, particularly in the development of geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR).

<span class="mw-page-title-main">Waldo Tobler bibliography</span> Geographer Waldo Toblers publications

Waldo Tobler's publications span between 1957 and 2017, with his most productive year being 1973. Despite retirement in 1994, he continued to be involved with research for the remainder of his life. Most of his publications consist of peer-reviewed journals, without single-issue textbooks or monographs, and the quantity of publications is noted as being unremarkable compared to modern geographers. Many of his works are foundational to modern geography and cartography, and still frequently cited in modern publications, including the first paper on using computers in cartography, the establishment of analytical cartography, and coining Tobler's first and second laws of geography. His work covered a wide range of topics, with many of his papers considered to be "cartographic classics", that serve as required reading for both graduate and undergraduate students.

References

  1. "PersonalWebKit.com Web Site". www.geog.ucsb.edu. Retrieved 2020-07-09.
  2. "Keith C. Clarke - Google Scholar". scholar.google.co.uk. Retrieved 2020-07-09.
  3. Clarke, K C; Hoppen, S; Gaydos, L (1997-04-01). "A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area". Environment and Planning B: Planning and Design. 24 (2): 247–261. doi:10.1068/b240247. ISSN   0265-8135. S2CID   40847078.
  4. CLARKE, KEITH C.; GAYDOS, LEONARD J. (1998-11-01). "Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore". International Journal of Geographical Information Science. 12 (7): 699–714. doi: 10.1080/136588198241617 . ISSN   1365-8816. PMID   12294536.
  5. Herold, Martin; Goldstein, Noah C.; Clarke, Keith C. (2003-08-15). "The spatiotemporal form of urban growth: measurement, analysis and modeling". Remote Sensing of Environment. Urban Remote Sensing. 86 (3): 286–302. Bibcode:2003RSEnv..86..286H. doi:10.1016/S0034-4257(03)00075-0. ISSN   0034-4257. S2CID   10583598.
  6. Clarke, Keith C. (2014-07-31). Maps & Web Mapping. Pearson Education. ISBN   978-0-321-96145-7.
  7. "Getting Started with Geographic Information Systems, 5th Edition". www.pearson.com. Retrieved 2020-07-12.
  8. Clarke, Keith C. (1990). Analytical and Computer Cartography. Prentice Hall. ISBN   978-0-13-033481-7.
  9. "Altmetric – A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area". www.altmetric.com. Retrieved 2020-07-09.
  10. "Elected Fellows". American Association for the Advancement of Science. Retrieved 2020-07-09.
  11. "Keith Clarke Mentoring Award". www.ucgis.org. Retrieved 2020-07-09.
  12. "Keith CLARKE | PhD University of Michigan, 1982 | University of California, Santa Barbara, CA | UCSB | Department of Geography". ResearchGate. Retrieved 2020-07-09.