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First, we use mutual information to reveal potential relationships in the data. Second, we adopt the state space portrait to characterize the system\u2019s behavior. Third, we compare the annual state space curves and we apply clustering and visualization tools to unveil long-range patterns. We use forest fire data for Portugal, covering the years 1980\u20132003. The territory is divided into two regions (North and South), characterized by different climates and vegetation. The adopted methodology represents a new viewpoint in the context of forest fires, shedding light on a complex phenomenon that needs to be better understood in order to mitigate its devastating consequences, at both economical and environmental levels.<\/jats:p>","DOI":"10.1177\/1077546314565687","type":"journal-article","created":{"date-parts":[[2015,1,15]],"date-time":"2015-01-15T01:43:34Z","timestamp":1421286214000},"page":"2153-2164","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["State space analysis of forest fires"],"prefix":"10.1177","volume":"22","author":[{"given":"Ant\u00f3nio M","family":"Lopes","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Porto, Portugal"}]},{"given":"Jos\u00e9 A","family":"Tenreiro Machado","sequence":"additional","affiliation":[{"name":"Institute of Engineering, Polytechnic of Porto, Portugal"}]}],"member":"179","published-online":{"date-parts":[[2015,1,14]]},"reference":[{"key":"bibr1-1077546314565687","unstructured":"Alvarado E, Sandberg DV and Pickford SG (1998) Modeling large forest fires as extreme events. 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