Socio-environmental conflicts in mining regions are often examined through political, economic, or social lenses, while the role of land-system transformation remains less integrated into quantitative analysis. This study examines the co-evolution of socio-environmental conflict and territorial change in Las Bambas (Apurímac, Peru) as a socio-territorial process. Annual conflict records from the Peruvian Ombudsman’s Office (2007–2024) were combined with annual land-cover data from MapBiomas. Yearly conflict influence zones were reconstructed from reported affected communities and geographic features using buffered spatial entities and concave hull polygons. Clustering methods (K-medoids, DBSCAN, and agglomerative hierarchical clustering) and FP-Growth association rule mining were applied to 23 unique conflicts consolidated from the original records and encoded with 10 root causes. The most intense conflict phases were accompanied by measurable landscape transformations, including the emergence of mining-related land cover from 2012 onward, sustained loss of high-Andean natural vegetation, expansion of agricultural mosaics, urban growth along the Apurímac–Cusco corridor, and hydrological alterations in wetlands and headwaters. Three conflict typologies were identified, with unfulfilled company commitments emerging as the most recurrent co-occurring grievance. The dynamic polygon approach offers a replicable framework for linking conflict records with land-system change in extractive regions.

There is a high probability that traffic accidents will leave several victims in such a critical condition that they will require immediate medical care to survive. In Peru, where healthcare resources for emergencies are quite limited, it is essential to prioritize some cases over others. This work aims to build a model that estimates the number of people injured in traffic accidents in the province of Lima based on 2016 and 2017 accident records from the Police Station National Census. It develops a multiple linear regression analysis based on variables taken from the accident records and principal component analysis to represent better and simplify some of the original model variables and work with the most relevant information. The model seeks to provide valuable information to medical professionals to prioritize attention and maximize the number of survivors. Existe una alta probabilidad de que un accidente de tránsito deje víctimas, muchas de las cuales podrían encontrarse en un estado crítico que requiera de atención médica inmediata para su sobrevivencia. Sin embargo, en el Perú, donde los recursos de atención en salud en estas emergencias son bastante limitados, se tiene la necesidad de priorizar la atención inmediata de ciertos accidentes sobre otros. Por ello, el presente trabajo tiene como objetivo construir un modelo que estime la cantidad de heridos en accidentes de tránsito dentro la provincia de Lima con base en registros de accidentes ocurridos entre los años 2017 y 2016,según el Censo Nacional de Comisarías del 2017. Para este fin, se desarrollará un análisis deregresión lineal múltiple tomando ciertas variables seleccionadas a partir de los registros de accidentes; asimismo, se realizará un análisis de componentes principales en busca de representar mejor algunas de las variables dentro del modelo y extraer la información más relevante de estos datos. De esta manera, se pretende brindar información valiosa al personal de salud que atiende estos eventos, de forma que les permita priorizar la atención de aquellos accidentes cuyas condiciones permitan maximizar el número de sobrevivientes sobre el total de heridos.