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Forest fragmentation may negatively impact fauna and flora. An important tool for the development and implementation of research on these effects is the use of a geographic information system (GIS). This paper aims to perform an integrated analysis of the landscape fragments that compose the Alonzo River watershed, Paraná State, by using remote sensing tools and landscape ecology metrics. The analyzed landscape metrics were Patton’s index, total area of the patches, edge length, edge density, forest fragment density, and the core area of the patches. The results showed 888 forest patches with area values ranging from 0.15 ha to 2509.82 ha, and it represents 12.5% of the total forest land cover of the studied basin; this means that 85.3% of the forest patches are less than 50 ha and that 75% of those fragments have a Patton’s index value of less than 3.9. The fragments that compose the studied area may be subject to edge effects and biodiversity loss as long as they present reduced areas and small core areas. Thus, the use of GIS and landscape ecology metrics is a quick and efficient way to evaluate the effect of fragmentation over large areas.

Public services management is a fundamental role to public institutions, providing society with proper resources for a better quality of life. Local characteristics should be considered during public policies planning; however, generalizations are adopted to elaborate studies, overlooking these characteristics. Our objective was to apply a geostatistical analysis into the public services of Campo Mourão, Paraná State. The number of residents per census tracts lacking in water supply, sewage collection, waste collection, street lighting, electricity, and paving was found based on 2010 Census data. The spatial distribution of these data with the software ArcGIS 9.3 enabled the examination of these characteristics via the Cluster and Outlier method, through the Anselin Local Moran's I spatial analysis module, that identified hotspots and coldspots. As a result, it was found that Campo Mourão is satisfactorily supplied with electricity distribution services and waste collection with only 0.5% of absence in the census tracts. The sewage collection by the general network was the most absent service with 37% absence rate. Parque Industrial I and Jardim Isabel neighborhoods stood out as the most devoid of public services. The Cluster and Outlier Analysis is a subsidy tool for policy-making, which can increase efficiency when providing these services.