Exploratory Spatial Data Analysis (ESDA)

Visibility - Sensitivity Analysis

Thinking critically about parameters before running the code is always important. In this post I will explain how to set important parameters when conducting a Visibility Analysis.

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases. A cross-sectional case study of COVID-19 incidence in Germany

As of 13 July 2020, 12.9 million COVID-19 cases have been reported worldwide. Prior studies have demonstrated that local socioeconomic and built environment characteristics may significantly contribute to viral transmission and incidence rates, thereby accounting for some of the spatial variation observed. Due to uncertainties, non-linearities, and multiple interaction effects observed in the associations between COVID-19 incidence and socioeconomic, infrastructural, and built environment characteristics, we present a structured multimethod approach for analysing cross-sectional incidence data within in an Exploratory Spatial Data Analysis (ESDA) framework at the NUTS3 (county) scale.