Accesibilidad dinámica en modelos de Autómata Celular (ac) de usos del suelo urbano

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dc.contributor.advisorHewitt, Richard James
dc.contributor.authorPérez-Bello Piñeiro, Julio-José
dc.date.accessioned2023-06-16T14:49:30Z
dc.date.available2023-06-16T14:49:30Z
dc.date.defense2021-09-23
dc.date.issued2021-09-23
dc.descriptionAgradecimientos a Jaime Salvador Díaz Pacheco y Richard James Hewitt
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.statusunpub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/68302
dc.identifier.urihttps://hdl.handle.net/20.500.14352/5161
dc.language.isospa
dc.master.titleMáster en Tecnologías de la Información Geográfica. Facultad de Geografía e Historia. Curso 2020-2021
dc.page.total60
dc.rights.accessRightsopen access
dc.subject.cdu9:37
dc.subject.cdu004:37
dc.subject.cdu51:37
dc.subject.keywordR
dc.subject.keywordMCK
dc.subject.keywordSIMLANDER
dc.subject.keywordMadrid Land Use
dc.subject.keywordAutómatas Celulares
dc.subject.keywordCellular Automata
dc.subject.ucmLenguajes de programación
dc.subject.ucmEstadística matemática (Estadística)
dc.subject.ucmGeografía
dc.subject.ucmCartografía
dc.subject.ucmGeografía física
dc.subject.ucmGeografía humana
dc.subject.ucmGeografía regional
dc.subject.ucmSistemas de información geográfica
dc.subject.unesco1203.23 Lenguajes de Programación
dc.subject.unesco1209 Estadística
dc.subject.unesco2505 Geografía
dc.subject.unesco2505.02 Cartografía Geográfica
dc.subject.unesco2505.07 Geografía Física
dc.subject.unesco5403 Geografía Humana
dc.subject.unesco5404 Geografía Regional
dc.titleAccesibilidad dinámica en modelos de Autómata Celular (ac) de usos del suelo urbano
dc.title.alternativeDynamic accesibility on Cellular Automata (ca) urban land use models
dc.typemaster thesis
dcterms.references1. B. BHATTA. MODELLING OF URBAN GROWTH BOUNDARY USING GEOINFORMATICS. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2 (4) (2009), PP. 359-381. 2. C.G.LANGTON (1986). STUDYING ARTIFICIAL LIFE WITH CELULAR AUTOMATA. DEPARTMENT OF COMPUTER AND COMMUNICATION SCIENCE. UNIVERSITY OF MICHIGAN. (PHYSICA 22D PP 120-149). 3. EDWARD N. LORENZ (1962). DETERMINISTIC NON PERIODIC FLOW. MASSACHUSETTS INSTITUTE OF TECHNOLOGY. 4. ENGELEN, G., WHITE, R., ULJEE, I., Y DRAZAN, P. (1995). USING CELLULAR AUTOMATA FOR INTEGRATED MODELLING OF SOCIO-ENVIRONMENTAL SYSTEMS. ENVIRONMENTAL MONITORING AND ASSESSMENT, 34(2), 203-214. 5. HAKEN, HERMANN & PORTUGALI, JUVAL. (2021). CITIES AS HYBRID COMPLEX SYSTEMS. 10.1007/978-3-030-63457-5_2. 6. HEWITT, R., DÍAZ PACHECO, J. AND MOYA GÓMEZ, B., (2013), A CELLULAR AUTOMATA LAND USE MODEL FOR THE R SOFTWARE ENVIRONMENT. 7. JOHN VON NEUMANN & ULAM S. THEORY OF SELF REPRODUCING AUTOMATA (1948). 8. LUGARESARESTI, JOSEBA. (2005). SISTEMAS FRACTALES, CAOS Y HOLÍSTICA EN EL ANÁLISIS TERRITORIAL: LA GEOGRAFÍA BIODINÁMICA. LURRALDE: INVESTIGACIÓN Y ESPACIO, ISSN 0211-5891, Nº 28, 2005, PAGS. 11-30. 9. MAJID SHADMAN ROODPOSHTI, RICHARD J. HEWITT, BRETT A. BRYAN (2020). TOWARDS AUTOMATIC CALIBRATION OF NEIGHBOURHOOD INFLUENCE IN CELLULAR AUTOMATA LAND-USE MODELS. COMPUTERS, ENVIRONMENT AND URBAN SYSTEMS VOLUEM 79, JANUARY 2020, 101416. 10. M BATTY, P.A. LONGLEY.(1986). FRACTAL-BASED DESCRIPTION OF URBAN FORM. ENVIRONMENT AND PLANNING B: PLANNING AND DESIGN, 1987, VOLUME 14, PAGES 123-134. DEPARTMENT OF TOWN PLANNING, UNIVERSITY OF WALES. INSTITUTE OF SCIENCE AND TECHNOLOGY, CARDIFF, CF1 3EU, WALES. 11. R. WHITE, G. ENGELEN & I ULJEE (1997). THE USE OF CONSTRAINED CELULAR AUTOMATA FOR HIGH-RESOLUTION MODELLING OF URBAN LAND-USE DYNAMICS. ENVIRONMENT AND PLANING. (VOL. 24 PP 323-343). 12. ULAM, S. (1952, APRIL). RANDOM PROCESSES AND TRANSFORMATIONS. PROCEEDINGS OF THE INTERNATIONAL CONGRESS ON MATHEMATICS (VOL. 2, PP. 264-275). PUBLIC SCHOOL PUBLISHING. 44 13. VON NEUMANN, J. (2017). THE GENERAL AND LOGICAL THEORY OF AUTOMATA. IN SYSTEMS RESEARCH FOR BEHAVIORAL SCIENCE SYSTEMS RESEARCH (PP. 97-107). ROUTLEDGE. 14. WHITE, R. AND G. ENGELEN (1993) CELLULAR AUTOMATA AND FRACTAL FORM: A CELLULAR MODELING APPROACH TO THE EVOLUTION OF URBAN LAND-USE PATTERNS, ENVIRONMENT AND PLANNING A, 25: 1175-1199. 15. TOBLER W.R., « CELLULAR GEOGRAPHY », P. 379-386 IN S. GALE, G. OLSSON (DIR.), PHILOSOPHY IN GEOGRAPHY, REIDEL PUBLISHING COMPANY, DORDRECHT, HOLANDA, 1979. 16. MAS, J-F., (2018), ANÁLISIS ESPACIAL CON R: USA R COMO UN SISTEMA DE INFORMACIÓN GEOGRÁFICA, EUROPEAN SCIENTIFIC INSTITUTE, 114 P. 17. DÍAZ-PACHECO, J. & GARCÍA-PALOMARES, J.C. (2014) A HIGHLY DETAILED LAND-USE VECTOR MAP FOR MADRID REGION BASED ON PHOTO-INTERPRETATION, JOURNAL OF MAPS, 10:3, 424-433, DOI: 10.1080/17445647.2014.882798 18. VISSER, H., & DE NIJS, T. (2006). THE MAP COMPARISON KIT. ENVIRONMENTAL MODELLING & SOFTWARE, 21(3), 346-358. 19. VAN VLIET, J., BREGT, A. K., & HAGEN-ZANKER, A. (2011). REVISITING KAPPA TO ACCOUNT FOR CHANGE IN THE ACCURACY ASSESSMENT OF LAND-USE CHANGE MODELS. ECOLOGICAL MODELLING, 222(8), 1367-1375. 20. MCGARIGAL, K. (1995). FRAGSTATS: SPATIAL PATTERN ANALYSIS PROGRAM FOR QUANTIFYING LANDSCAPE STRUCTURE (VOL. 351). US DEPARTMENT OF AGRICULTURE, FOREST SERVICE, PACIFIC NORTHWEST RESEARCH STATION.
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