What is Spatial Analysis?
Spatial analysis is something we all do, whether we’re aware of it or not. It’s how we understand our world — knowing where things are, learning how places relate and interact, figuring out what it all means, and what decisions to make or actions to take.
Los bancos, las empresas de seguros y las cadenas de venta de productos al gran público deben gestionar una gran cantidad de activos inmobiliarios en muchas ciudades distintas.
Entender cuáles son las tiendas que más o menos aportan al negocio global, conocer dónde están nuestros clientes, dónde nuestra competencia, y caracterizar las mejores ubicaciones para una expansión pueden ahorrarnos millones de euros en inversiones y pueden ayudarnos a maximizar el rendimiento de nuestra inversión.
Organizations use Esri® solutions to gain footholds in the competitive commercial property market and to run profitable businesses. Successful real estate companies know that understanding local markets and being able to convey information about them to clients are what makes the difference between a commercial space being a boon or a bust.
How are our branches performing in various markets? Which markets have the greatest total deposits? Which markets are underperforming? Where is there opportunity to expand our footprint? Navigate through this storymap to gain a deeper insight into our current and potential markets.
Identify, Assess, Review, Control, Mitigate, & Monitor: these are important words in fully understanding and mitigating risk in any business. There are many tools and methods to engage in these activities to address risk, but few are as powerful as spatial analysis.
This case study follows Jonathan Blum, a New York-based author and GIS-novice, as he tests the assumed, unquestioned, relationship between loan grades and interest rates. As you read his story, keep in mind that this workflow can answer a variety of different questions.
Most of us probably expect, for example, that communities with higher average incomes will pay higher average income taxes. But is this consistently true? Where is it less true or more true across the country? We might believe that agricultural areas with the best growing conditions will produce the highest yields. Is this always the case everywhere? If not, why not? Wouldn’t it be reasonable to assume that schools with better teacher-to-student ratios will have higher test scores?