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Dive into the research topics where María Teresa Camacho Olmedo is active.

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Featured researches published by María Teresa Camacho Olmedo.


International Journal of Geographical Information Science | 2005

Possibilities and limits of prospective GIS land cover modelling—a compared case study: Garrotxes (France) and Alta Alpujarra Granadina (Spain)

Martin Paegelow; María Teresa Camacho Olmedo

This study focuses on the possibilities and the limits of a prospective GIS land cover modelling applied to two case studies (France and Spain). The methodology, based on available GIS tools, consists of using earlier land cover maps and relevant environmental factors (calibration data) to model actual, known land cover to validate the model. The model aggregates Markov chain analysis for time prediction and multi‐critera evaluation, multi‐objective evaluation and cellular automata to perform spatial contiguity of modelled land cover scores. The first results give an accurate, pixel by pixel prediction rate of approximately 75%. An important issue of this study consists of analysing prediction residues to improve the model.


Environmental Modelling and Software | 2015

Comparison of simulation models in terms of quantity and allocation of land change

María Teresa Camacho Olmedo; Robert Gilmore Pontius; Martin Paegelow; Jean-François Mas

Our article illustrates how to compare the outputs from models that simulate transitions among categories through time. We illustrate the concepts by comparing two land change models: Land Change Modeler and Cellular Automata Markov. We show how the modeling options influence the quantity and allocation of simulated transitions, and how to compare output maps from pairs of model runs with respect to a reference map of transitions during the validation interval. We recommend that the first step is to assess the quantity of each transition and to determine the cause of the variation in quantity among model runs. The second step is to assess the allocation of transitions and to determine the cause of the variation in allocation among model runs. The separation of quantity and allocation of the transitions is a helpful approach to communicate how models work and to describe pattern validation. We compare three runs of models that simulate transitions among land categories.Pattern validation compares a reference map of transition to maps from pairs of runs.Quantity and allocation are helpful concepts to describe models and to compare maps.Quantity refers to the size of each transition from one category to another category.Allocation refers to the spatial distribution of the transitions.


International Journal of Geographical Information Science | 2013

Land change modelling: moving beyond projections

Martin Paegelow; María Teresa Camacho Olmedo; Jean-François Mas; Thomas Houet; Robert Gilmore Pontius

During the last decades, there has been an increasing interest from the academic and policy communities to monitor and model changes of the earth surface. Modeling environmental dynamics helps to understand changes that are taking place currently and to anticipate future evolutions. Prospective simulation supports decision-making for environmental management and land planning. This special issue is dedicated to advances in land change modeling. Land Use / Land Cover Change, also called LUCC, is certainly a prominent interface between natural and social dynamics because anthropogenic LUCC has a profound impact on Earth. LUCC impacts a large amount of highly relevant topics such as resource exploitation, climate change, biodiversity loss, etc. Land change modeling can provide transparent, efficient and sustainable decision support to these current and rising environmental problems


Communications in Statistics - Simulation and Computation | 2007

Various Approaches for Predicting Land Cover in Mountain Areas

Nathalie Villa; Martin Paegelow; María Teresa Camacho Olmedo; Laurence Cornez; Frédéric Ferraty; Louis Ferré; Pascal Sarda

Using former maps, geographers intend to study the evolution of the land cover in order to have a prospective approach on the future landscape; predictions of the future land cover, by the use of older maps and environmental variables, are usually done through the GIS (Geographic Information System). We propose here to confront this classical geographical approach with statistical approaches: a linear parametric model (polychotomous regression modeling) and a nonparametric one (multilayer perceptron). These methodologies have been tested on two real areas on which the land cover is known at various dates; this allows us to emphasize the benefit of these two statistical approaches compared to GIS and to discuss the way GIS could be improved by the use of statistical models.


International Journal of Applied Earth Observation and Geoinformation | 2017

Changes in the methodology used in the production of the Spanish CORINE: Uncertainty analysis of the new maps

David García-Álvarez; María Teresa Camacho Olmedo

Abstract Since 2012 CORINE has been obtained in Spain from the generalization of a more detailed land cover map (SIOSE). This methodological change has meant the production of a new CORINE map, which is different from the existing ones. To analyze how different the new maps are from the previous ones, as well as the advantages and disadvantages of the new methodology, we carried out a comparison of the CORINE obtained from both methods (traditional and generalization) for the year 2006. The new CORINE is more detailed and it is more coherent with the rest of Spanish Land Use Land Cover (LULC) maps. However, problems have been encountered with regard to the meaning of its classes, the fragmentation of patches and the complexity of its perimeters.


Archive | 2018

Geomatic Approaches for Modeling Land Change Scenarios

María Teresa Camacho Olmedo; Martin Paegelow; Jean-François Mas; Francisco Escobar

Land change models can help scientists and users to understand change processes and design policies to reduce the negative impact of human activities on the earth system at scales ranging from global to local. With the development of increasingly large computing capacities, multiple computer-based models have been created, with the result that the specific domain covered by the umbrella term “modeling” has become rather vague. Even within the context of the spatiotemporal modeling of land use and cover changes (LUCC), the term “modeling” can have many different meanings. There is also an increasing interest in the literature in comparing the different land change models. One of the aims of this book is to contribute to these processes. We focus on geomatic modeling approaches applied in this context to land change, a term that has been used synonymously for a number of years with LUCC and seems to be overtaking it as the generally used term for this phenomenon. The objective of this book is also clear to see from the methods we have chosen and the subjects we address. This book deals first and foremost with spatially explicit data that can be mapped. However, its additional focus on land change and land change scenarios in the wider field of environmental and social dynamics give it a certain consistency with a view to practical applications. M.T. Camacho Olmedo (&) Departamento de Análisis Geográfico Regional y Geografía Física, Universidad de Granada, Granada, Spain e-mail: camacho@ugr.es M. Paegelow GEODE UMR 5602 CNRS, Université de Toulouse Jean Jaurès, Toulouse, France e-mail: paegelow@univ-tlse2.fr J.F. Mas Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México (UNAM), Morelia, Michoacán, Mexico e-mail: jfmas@ciga.unam.mx F. Escobar Department of Geology, Geography and Environmental Sciences, University of Alcalá, Alcalá de Henares, Spain e-mail: francisco.escobar@uah.es


Arabian Journal of Geosciences | 2018

Contribution of consensus methods to resolve sources of uncertainty in suitability maps modeling: application in the Zahrez El Gharbi, Steppe of Algeria

Boudjema Sehl; Mohamed Said Guettouche; Hocine Ait Mouheb; María Teresa Camacho Olmedo

Modeling techniques have the power to predict land use change. Our research had three main aims: firstly, to compare and contrast the predictive performance of individual models versus consensus methods; secondly, to compare the different consensus methods; and finally, to compare their predictive performance for generalized and marginal land uses in the environment in the study area. Seven individual models were used to generate the suitability maps for each type of land use in Zahrez El Gharbi (Algeria), characterized by the suitability values for their occurrence. Seven consensus methods were created by combining the individual models. The predictive performance of the individual models and of the consensus methods was assessed by calculating the area under the curve (AUC). For each type of land use, the predictive quality of the consensus methods was considerably better than that of the individual models. The weighted averages method (WA) proved the most efficient of the seven consensus methods. The types of land use have a significant influence on the predictive quality, in that the AUC values increase in line with increases in the marginality of the particular type of land use. The improvements in predictive quality achieved by consensus methods in general and the weighted averages method (WA) in particular would substantially resolve the different sources of uncertainties resulting from the use of individual models and from the environmental characteristics of the different types of land use.


Environmental Modelling and Software | 2014

Inductive pattern-based land use/cover change models: A comparison of four software packages

Jean-François Mas; Melanie Kolb; Martin Paegelow; María Teresa Camacho Olmedo; Thomas Houet


Archive | 2008

Modelling Environmental Dynamics

Martin Paegelow; María Teresa Camacho Olmedo


revue internationale de géomatique | 2011

Eclairer le choix des outils de simulation des changements des modes d'occupation et d'usages des sols. Une approche comparative.

Jean-François Mas; Melanie Kolb; Thomas Houet; Martin Paegelow; María Teresa Camacho Olmedo

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Jean-François Mas

National Autonomous University of Mexico

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Melanie Kolb

Comisión Nacional para el Conocimiento y Uso de la Biodiversidad

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Frédéric Ferraty

Institut de Mathématiques de Toulouse

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