December 2023 Summaries

Felt is a free tool designed for classroom use to help students learn spatial analysis by posing questions and conducting exercises, such as determining optimal sites for infrastructure installations or assessing the vulnerability of specific areas to environmental risks. An example exercise involves using Felt to analyze Mexico City's geography and vulnerability to flooding by visualizing the historic Lake Texcoco area and current flood risks, using data from the Government of Mexico City and NASA's SRTM elevation data. The exercise guides students through steps like creating a hillshade to understand elevation, defining an area of interest by dissolving neighborhood polygons, and overlaying flood risk and social vulnerability layers to identify high-risk areas. Ultimately, students perform buffer analyses to determine the number of rainwater collection sites within a specified radius of vulnerable populations, using various transformation methods within Felt to achieve their analytical objectives. Felt aims to streamline the learning process with intuitive tools and previews, enabling students to confidently engage in spatial data analysis and develop critical thinking skills in geography and environmental studies.

Felt, a free tool for classroom use, offers intuitive spatial analysis capabilities to help students explore spatial questions such as identifying potential habitats or optimal sites for infrastructure like electric vehicle chargers. The tool is designed to allow students to confidently learn and apply transformations through preview features. An exercise provided within the text uses Felt to analyze Mexico City's flood risk and social vulnerability, focusing on the placement of rainwater collection sites. The exercise involves understanding the geography, topography, and historical context of Mexico City, using various data layers like flood risk and social vulnerability indices, and performing spatial analyses such as creating buffers and clipping data to make informed decisions about infrastructure placement. The text emphasizes the importance of map-based analysis for learning and decision-making, and encourages educators to integrate Felt into their teaching to enhance spatial learning.