Are landscapes as crisp as we may think? Export

@article{citeulike:1267061, abstract = {Geographic information is traditionally represented by a one-entity-one-class method, assuming that each geographical entity in the map can be unambiguously assigned to a single thematic class. Also, thematic map classes are assumed to be exhaustive and mutually exclusive. By contrast, fuzzy classifications overcome the traditional limitations on the mutually exclusive nature of map classes assigning varying levels of class membership for individual map entities. The aim of this paper is to show that the substitution of fuzzy set theory for classical set theory is an essential improvement for representing geographic information using hierarchical classification schemes.}, author = {Rocchini, Duccio and Ricotta, Carlo}, citeulike-article-id = {1267061}, citeulike-linkout-0 = {http://www.sciencedirect.com/science/article/B6VBS-4MY116V-5/2/2fb45180bbc4df9151b6869f00e27e39}, journal = {Ecological Modelling}, keywords = {fuzzy\_logic, gis}, month = {June}, number = {3-4}, pages = {535--539}, posted-at = {2007-04-30 03:04:47}, priority = {2}, title = {Are landscapes as crisp as we may think?}, url = {http://www.sciencedirect.com/science/article/B6VBS-4MY116V-5/2/2fb45180bbc4df9151b6869f00e27e39}, volume = {204}, year = {2007} }

TY - JOUR ID - citeulike:1267061 L3 - citeulike-article-id:1267061 N2 - Geographic information is traditionally represented by a one-entity-one-class method, assuming that each geographical entity in the map can be unambiguously assigned to a single thematic class. Also, thematic map classes are assumed to be exhaustive and mutually exclusive. By contrast, fuzzy classifications overcome the traditional limitations on the mutually exclusive nature of map classes assigning varying levels of class membership for individual map entities. The aim of this paper is to show that the substitution of fuzzy set theory for classical set theory is an essential improvement for representing geographic information using hierarchical classification schemes. IS - 3-4 JF - Ecological Modelling EP - 539 TI - Are landscapes as crisp as we may think? VL - 204 SP - 535 KW - fuzzy_logic KW - gis AU - Rocchini, Duccio AU - Ricotta, Carlo PY - 2007/06/16/ UR - http://www.sciencedirect.com/science/article/B6VBS-4MY116V-5/2/2fb45180bbc4df9151b6869f00e27e39 ER -