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On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrences in Spain

https://doi.org/10.1071/wf09139
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32/32 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

32 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 32 checked references that resolve
resolves10.1071/WF02059
Evaluation of fire danger rating indexes using logistic regression and percentile analysis
resolves10.1071/WF04008
Spatial distribution of ignitions in Mediterranean periurban and rural areas: the case of Catalonia
resolves10.1007/BF02393801
Mapping probability of fire occurrence in San Jacinto Mountains, California, USA
resolves10.1016/J.RSE.2004.01.019
Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating
resolves10.1071/WF08020
Prediction of fire occurrence from live fuel moisture content measurements in a Mediterranean ecosystem
resolves10.1016/J.ECOLMODEL.2008.11.017
Development of a framework for fire risk assessment using remote sensing and geographic information system technologies
resolves10.1139/X73-038
A Stochastic Model for the Occurrence of Man-caused Forest Fires
resolves10.1007/S10980-005-5475-X
Mapping the probability of large fire occurrence in northern Arizona, USA
resolves10.1017/S0376892997000088
A review of methods for the assessment of prediction errors in conservation presence/absence models
resolves10.1093/forestscience/27.1.19
Moisture Content Calculations for 1000-Hour Timelag Fuels
resolves10.1071/WF00003
Prediction of the daily number of forest fires
resolves10.1051/FOREST:2005109
A fire probability model for forest stands in Catalonia (north-east Spain)
resolves10.1111/J.0906-7590.2006.04700.X
The effect of sample size and species characteristics on performance of different species distribution modeling methods
resolves10.1071/WF9930217
Wildfire Activity in the Mallee Shrubland of Victoria, Australia
resolves10.1071/WF07136
Artificial neural network approach for modeling the impact of population density and weather parameters on forest fire risk
resolves10.1023/A:1022966930861
Wildfires and landscape patterns in the Eastern Iberian Peninsula
resolves10.1016/J.RSE.2006.10.001
Assessment of several spectral indices derived from multi-temporal Landsat data for fire occurrence probability modelling
resolves10.1016/J.RSE.2007.06.006
A multi-scale approach for modeling fire occurrence probability using satellite data and classification trees: A case study in a mountainous Mediterranean region
resolves10.1071/WF06007
Factors influencing wildfire occurrence and distribution in eastern Kentucky, USA
resolves10.1046/J.1365-2664.2001.00647.X
Evaluating presence–absence models in ecology: the need to account for prevalence
resolves10.1139/X87-068
A logistic model for predicting daily people-caused forest fire occurrence in Ontario
resolves10.1016/J.JENVMAN.2008.07.005
Human-caused wildfire risk rating for prevention planning in Spain
resolves10.1093/BIOMET/78.3.691
A note on a general definition of the coefficient of determination
resolves10.1071/WF02061
Probability based models for estimation of wildfire risk*
resolves10.1007/S10980-008-9190-2
GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain)
resolves10.1126/SCIENCE.3287615
Measuring the Accuracy of Diagnostic Systems
resolves10.1890/06-1128.1
HUMAN INFLUENCE ON CALIFORNIA FIRE REGIMES
resolves10.1071/WF07087
Predicting spatial patterns of fire on a southern California landscape
resolves10.1007/S10980-005-4119-5
Applying Local Measures of Spatial Heterogeneity to Landsat-TM Images for Predicting Wildfire Occurrence in Mediterranean Landscapes
resolves10.1071/WF9950101
A Logit Model for Predicting the Daily Occurrence of Human Caused Forest-Fires
resolves10.1071/WF00015
Comparative study of various methods of fire danger evaluation in southern Europe
resolves10.1139/X05-071
A lightning fire occurrence model for Ontario
The 32 references without a DOI — listed, not checked
no DOI — not checked2025112621332293300_R3
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no DOI — not checked2025112621332293300_R5
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no DOI — not checked2025112621332293300_R27
no DOI — not checked2025112621332293300_R28
no DOI — not checked2025112621332293300_R29
no DOI — not checked2025112621332293300_R31
no DOI — not checked2025112621332293300_R34
no DOI — not checked2025112621332293300_R37
no DOI — not checkedMartínez J (2004) Análisis, estimación y cartografía del riesgo humano de incendios forestales. PhD thesis, Universidad de Alcalá, Alcalá de Henares, Spain.
no DOI — not checked2025112621332293300_R43
no DOI — not checkedMestre A, Allue M, Peral C, Santamaría R, Lazcano M (2008) Operational Fire Danger Rating System in Spain. In ‘Proceedings of the International Workshop on Operational Weather Systems for Fire Danger Rating’, 14–16 July 2008, Edmonton, AB. (World Meteorological Organization: Geneva, Switzerland) Available at http://www.wmo.int/pages/prog/wcp/agm/meetings/wofire08/wofire08_present.html [Verified 4 November 2009]
no DOI — not checked2025112621332293300_R48
no DOI — not checked2025112621332293300_R49
no DOI — not checked2025112621332293300_R53
no DOI — not checked2025112621332293300_R54
no DOI — not checked2025112621332293300_R55
no DOI — not checkedSpatial prediction of fire ignition probabilities: comparing logistic regression and neural networks.
no DOI — not checked2025112621332293300_R57
no DOI — not checkedApplying neural network technology to human-caused wildfire occurrence prediction.
no DOI — not checked2025112621332293300_R61
no DOI — not checked2025112621332293300_R62
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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