Spatial Analysis of Forest Crimes in Mark Twain National Forest, Missouri

摘要: Forest crime mitigation has been identified as a challenging issue in forest management the United States. Knowledge of spatial pattern crimes would help wisely allocating limited enforcement resources to curb crimes. This study explores three different types crimes: fire crime, illegal timber logging and occupancy use Salem-Patosi Ranger District Mark Twain National Forest. Univariate bivariate Ripley’s K-functions were applied explore patterns events, like clustering attraction among types. Results reveal significant for each type combined events. Peak was observed at 2.3 km, 2.7 km 3.6 fire, crimes, respectively. For better mitigation, when there is an event given type, monitoring should be intensified around its respective scale peak avert future Significant between i) ii) scales 0.3 0.2 At scales, occurrence one increases chances another thus we recommend available accordingly minimize Further could establish any association or with socio-economic bio-physical factors prevalent area.