Los riscos de Las Palmas: la ermita de San Juan Bautista

[ES] Un análisis histórico-artístico del patrimonio olvidado de nuestra ciudad. Un acervo cultural que espera nuestra actuación inmediata, ya que de ello depende parte de la conservación de la historia reciente de la capital.

Los animales domésticos de los habitantes de la Cueva de Villaverde (Fuerteventura)

[ES] More than two hundred and fifty kilogrammes (six hundred pounds) of uncountable osseous fragments of domestic animals from the beginning óf our era have been extracted in the course of archeological excavations carried out in Villaverde. Their inventory and study have proved they belonged to, at least, five hundred goats. fifty sheep, half a dozen swine and two dogs. These animals show affinity with others from the Neolithic and Protohistoric periods of North Africa. Therefore, the goat may be included in the mamber goat group (mambrinus group) and the shepp in "longipes" group, both of them mummified by the Egyptians. Possibly, the swine is similar to the one found in Toukh (Egypt) and the dog may be included in the Saharan Kabyle sheepdog characterized by its small size.

Restos óseos de Lobos marinos en la Cueva de Villaverde (Fuerteventura)

[EN] During the archaeological excavations carried out in the Villaverde Cave sorne bone remains (left mandible fragment, proximal fragment of scapula and two left humerus) of two specimes of monk seals (Monachus cf. monachus) were found. Toe cave, which is a vokanic tunnel, was occupied during the firts Centuries of our Era by the former inhabitants of the Fuerteventura Island. Toe monk seals,named in the past in Canaries "Lobos marinos", were very numerous according to the Chronicles of the Conquerers (1404-1408) and for that reason the small island situated between Lanzarote and Fuerteventura lslands was named '"Isla de Lobos". These seals became extinct at the end of the XV Century and the remains found at Villaverde are the only ones known.

PROBABILISTIC MODELING OF RAINFALL INDUCED LANDSLIDE HAZARD ASSESSMENT IN SAN JUAN LA LAGUNA, SOLOLÁ, GUATEMALA

The municipality of San Juan La Laguna, Guatemala is home to approximately 5,200 people and located on the western side of the Lake Atitlán caldera. Steep slopes surround all but the eastern side of San Juan. The Lake Atitlán watershed is susceptible to many natural hazards, but most predictable are the landslides that can occur annually with each rainy season, especially during high-intensity events. Hurricane Stan hit Guatemala in October 2005; the resulting flooding and landslides devastated the Atitlán region. Locations of landslide and non-landslide points were obtained from field observations and orthophotos taken following Hurricane Stan. This study used data from multiple attributes, at every landslide and non-landslide point, and applied different multivariate analyses to optimize a model for landslides prediction during high-intensity precipitation events like Hurricane Stan. The attributes considered in this study are: geology, geomorphology, distance to faults and streams, land use, slope, aspect, curvature, plan curvature, profile curvature and topographic wetness index. The attributes were pre-evaluated for their ability to predict landslides using four different attribute evaluators, all available in the open source data mining software Weka: filtered subset, information gain, gain ratio and chi-squared. Three multivariate algorithms (decision tree J48, logistic regression and BayesNet) were optimized for landslide prediction using different attributes. The following statistical parameters were used to evaluate model accuracy: precision, recall, F measure and area under the receiver operating characteristic (ROC) curve. The algorithm BayesNet yielded the most accurate model and was used to build a probability map of landslide initiation points. The probability map developed in this study was also compared to the results of a bivariate landslide susceptibility analysis conducted for the watershed, encompassing Lake Atitlán and San Juan. Landslides from Tropical Storm Agatha 2010 were used to independently validate this study’s multivariate model and the bivariate model. The ultimate aim of this study is to share the methodology and results with municipal contacts from the author's time as a U.S. Peace Corps volunteer, to facilitate more effective future landslide hazard planning and mitigation.