Spatial statistics for legal process

ABSTRACT

This research was designed in a random sampling method for detecting legal drawbacks in Chattogram North Forest Division, Bangladesh. Land use and land cover (LULC) change, normalised difference vegetation indexing (NDVI), hotspot analysis, IDW and Ripley’s K function were applied for spatial analysis of forest crimes of five fiscal years. The LULC showed forests degraded from 76% to 12% while the NDVI was 0.37 to 1. In 13 detected hotspots, a 2% probability of occurring offences in neighbouring areas of each hotspot was determined by hotspot analysis and IDW respectively. Ripley’s K showed randomly distributed hotspots.

KEYWORDS:

• Forest crime
• hotspots
• IDW
• Ripley’s K
• Moran’s I

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.