knitr::opts_chunk$set(echo = FALSE) library(publicLibs) library(shiny)
“The Air Force Community Partnership Program is a framework through which installation and public/private sector community leaders can develop innovative ways to leverage their capabilities and resources to obtain shared value and benefit by avoiding or reducing costs.”
This research effort investigated the off-base community of an installation to predict where partnerships are more likely to succeed. For each CONUS installation, the library service provided by the community was analyzed to produce an index using inverse distance weighting. The index takes into account the quality of each instance of the service and the distance from the installation. These indices were then compared and used as a predictor for where a library partnership could be used.
Which CONUS installations have off-base communities capable of providing base library service through P4 opportunities?
Can community demographics (population, occupation/industry size, etc.) be used to predict the same rank order to determine P4 opportunities?
shinyApp(options = list(width = '100%', height = '800px'), ui = fluidPage(mainPanel(DT::dataTableOutput("states", height = "800px"), width = 12)), server = function(input, output, session){ library(DT) output$states <- DT::renderDataTable({ DT::datatable(publicLibs::US_Libs[1:2000,], options = list(pageLength = 14)) }) })
$z(x) = \frac{\sum_{i=1}^{n}W_i * Z_i}{\sum_{i=1}^{n}W_i}$
$W_i = 1/d_i^2$
$Z_i =$ Size of the library
teachingApps::includeApp('offbase_libraries', height = '800px')
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