Titlebook: Spatial Socio-econometric Modeling (SSEM); A Low-Code Toolkit f Manuel S. González Canché Textbook 2023 The Editor(s) (if applicable) and T

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Data Formats, Coordinate Reference Systems, and Differential Privacy Frameworksnts, lines, or polygons. As part of this presentation, we illustrate how to move from raster to vector data and ., along with the implications of these transformations for SSEM. Subsequently, we introduce coordinate reference systems (CRSs) and discuss similarities and differences between projected

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SSEM Regression Based Analysesally Weighted Regression, and Spatio-temporal or Panel SAR models. The first two (SAR and Multilevel SAR) were designed to handle SODA relying on coefficient estimates that are applied “globally” (i.e., across all areas or zones regions included in the analytic sample) and “cross-sectionally” (i.e.,

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Final Wordsgly, with the goal of paying it forward, and founded on the belief that SSEM should not be the exclusive tool of a handful of well-resourced researchers and media giants, I aspire to expand access to these conceptual and methodological frameworks, tools, and ., via the . tools that I handcrafted for

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SPlacesit look? How does it smell? What sounds do you hear? Are there trees? Are there parks? Is it safe to walk around? What about public libraries? How far was the closest college? As discussed in this chapter, the answers to these questions require the intermingling of spaces and places and your answers

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Operationalizing SPlaces . as places with meaning that we may experience, live, and remember. Subsequently, we defined . as the intermingling of spaces and spaces that may enrich our understandings of processes, mechanisms, and the explanations of the outcomes observed. From this view, splaces then, eased our discussion of