The EMCC has developed a general analytical model (GAM) as the primary framework for data assembly and management, classification and analysis of the key components of the biodiversity assessment being conducted by EMCBAAP. This dynamic modeling tool builds on the field measurement and data gathering protocols which are being used by the PEF wildlife biology field teams and satellite imagery classification of land use/land cover in each of the three priority areas being studied in the Eastern Mindanao Corridor. A simplified graphic representation of that model is presented below. 

The general flow of data inputs and analytical steps begins with Data Management. This involves basic biodiversity data collection, analysis and synthesis of species, habitat, and threat data by PEF staff and members of the GIS Laboratory at UPM. Those data become inputs into three initial subcomponents of the GAM: threat profiles, habitat profiles, and species profiles (Philippine Eagle and prey). To assess the areas of most critical concern for the Philippine Eagle population, a change probability routine using regression analysis and probable geographic modification algorithms is used; which is validated by a time-series and change analysis using remotely sensed imagery and census data. The environmental impact upon habitat by threats also results from this component of the GAM The habitat maps will also enhance PEF field teams in assessing probable species locations. The species profile will provide various geo-statistical indicators-maps of the current and probable population distribution and viability of the Philippine Eagle. Furthermore, this analysis will produce spatial probability maps of species’ ecological niches and additional spatial suitability maps. Presence and Absence analysis and critical error assessments will compliment the analysis of smaller sample sizes. Finally, the habitat and threats profiles will be tested against a Multi-Criteria Multi-Objective Spatial Decision Analysis for further validation. The entire GAM runs seamlessly through integration of software tools, and common file types for ease of implementation, and is documented in both a step-wise procedural guide, and various technical appendices.