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A core issue in the context of the Immediate Action Plan for Irrigated Agriculture in Brazil is to solve the problem of spatial compatibility between two different meshes of the Brazilian territory. The first mesh contains vector spatial data of the country microbasins. The second mesh contains raster spatial data related to the spatial delimitation of rural properties. The challenge in the integration of these spatial datasets is to allocate each rural property to a single microbasin, i.e., to assign to each rural property the microbasin of the largest area of spatial intersection. In this technical report, we describe two efficient solutions to this challenge: one based on microbasin coordinates extraction and another based on geometric data indexing. We show that both solutions nicely solve the problem, guaranteeing low execution time despite the volume and the heterogeneity of spatial data.

The analysis of government proposal during elections from political parties is vital to choose the next authorities in any city or country. In this paper, we use a text mining approach to analyze the documents and provide an easy visualization to support an easy analysis. Besides, a comparison with a national plan based on sustainable development objectives of UN(United Nations) from 2030 Agenda is perfomed using Natural Language techniques.