12/12/2023 0 Comments Carto locations![]() ![]() Thankfully, Spatial Indexes make this much faster, thanks to a function called H3KRING which calls an array of cells which are a specified number of steps from the origin cell. Using traditional geometries, this would be a really expensive and slow operation. Within CARTO for Site Selection there are three core analytical functions: Twin Area Analysis Whitespace Analysis and New Site Simulation. Step 4: Calculating population within a distance. Number of competitors number of beds prices proposed per type of beds number of private beds/ financed beds standing personnel turnover age of the real estate. Behavioral trends such as those mentioned earlier to determine where potential residents may prefer to retire (in terms of their lifestyle or preference to be closer to family members) (e.g.Weather can be a significant factor in where people choose to retire often preferring warmer and drier climates (e.g.Existing assisted living facility locations to aid within white space analysis (e.g.Hospital location data to ensure sites are located within close proximity to emergency care when required (e.g.Public transit data to identify sites close to bus stops and train stations (e.g.Land usage looking at public recreation mixed-use and residential sites.Relevant data streams that can be used with such analysis include (links are to data for the United States full listings including additional countries are available in the Spatial Data Catalog): Site Selection for Eldery CareĬARTO for Site Selection allows assisted living facility owners and aged care investors to view current locations understand resident demographics run a similarity search and analyze whitespace or greenfield opportunities using performance metrics and geospatial data to model and simulate new locations. Cato is a Womens Clothing Store, with over 1000 locations in 30 states We embrace all shapes and sizes of Clothes for Women. Therefore in order to identify optimal locations for new assisted living facilities modern site selection analysts need to combine Location Intelligence with relevant accurate and up-to-the-minute data which is exactly what a solution such as CARTO for Site Selection provides - whether you own a large chain of assisted living facilities or you work in Private Equity and need to understand market dynamics and potential synergies. As well as eliminating bias, these types of maps are simpler for the human eye to interpret. Another method to combat area bias in your maps is to convert the data to a regular grid, consisting of shapes such as hexagons or squares. Correlating market growth to population growth can work in certain industries but there are more factors involved in healthcare site selection including purchasing power and behavioral trends as we have explored in a previous blog post. Remember dasymetric maps - we’ll be revisiting these later 2. ![]() Traditional site selection analysis relied on census data for finding areas where the senior population had increased significantly or where population density was highest and then selected sites in those areas. The elderly care services market size is expected to grow at a CAGR of over 10% between 20 surpassing USD 2,056 billion ![]()
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