Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Sorites paradox and vague geographies
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Asessing Semnatic Similarities among Geospatial Feature Class Definitions
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
Geomorphometric landscape analysis using a semi-automated GIS-approach
Environmental Modelling & Software
A fuzzy decision aid model for environmental performance assessment in waste recycling
Environmental Modelling & Software
A Spatio-morphological Modelling for Spread Predicting
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Accuracy statistics for judging soft classification
International Journal of Remote Sensing
Assessing a predictive model of land change using uncertain data
Environmental Modelling & Software
Measuring biodiversity performance: A conditional efficiency measurement approach
Environmental Modelling & Software
Environmental Modelling & Software
Cellular automata simulation of urban dynamics through GPGPU
The Journal of Supercomputing
Modelling land-use effects of future urbanization using cellular automata: An Eastern Danish case
Environmental Modelling & Software
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Comparing maps is an important issue in environmental research. There are many reasons to compare maps: (i) to detect temporal/spatial changes or hot-spots, (ii) to compare different models, methodologies or scenarios, (iii) to calibrate, validate land-use models, (iv) to analyse model uncertainty and sensitivity, and (v) to assess map accuracy. This paper addresses the quantification of map similarities and dissimilarities using the Map Comparison Kit (MCK) software. Software and documentation are publicly available on the RIKS website free of charge (http://www.riks.nl/MCK/). The main focus is on 'categorical' or 'nominal' maps. Four different nominal map-comparison techniques are integrated in the software. Maps on ordinal, ratio and interval scale can be dealt with as well. The software is unique in having two map comparison techniques based on fuzzy-set calculation rules. The rationale is that fuzzy-set map comparison is very close to human judgement. Both fuzziness in location and fuzziness in category definitions are dealt with in the software.