GIS-project

In this GIS analysis, I utilized a graduated symbol map to assess the population of people with disabilities in every county in Kansas. This approach allows us to visually represent the varying levels of disability prevalence across the state, with larger symbols indicating higher populations of individuals with disabilities and smaller symbols representing lower populations in each county.

GIS analysis uncovers unemployment patterns and causes using ArcGIS's bivariate method. This study offers a comprehensive understanding, aids targeted interventions, informs policymaking, and empowers communities to address unemployment effectively.

This study explores how agriculture—especially the production of corn, soybeans, and wheat—impacts Kansas’s economy. Using USDA crop data and economic statistics from the Kansas Department of Agriculture, the research uses choropleth maps and correlation analysis to visualize and measure agricultural output across counties and its relationship to household income and employment.

Kansas agriculture is a vital part of the state's economy, contributing approximately $85.4 billion annually and supporting over 250,000 jobs, which accounts for 13% of the state's gross regional product (GRP). The study found that corn production had a particularly strong positive correlation with household income, suggesting that increased crop yields can lead to economic growth at the county level.

Maps revealed that:

• Corn is heavily produced in north-central Kansas.

• Soybeans dominate the northeastern region.

• Wheat is most prevalent in central and western areas.
  The research concludes that agriculture not only feeds the state but also fuels its economy, with crop output closely tied to income and job opportunities. These insights can help guide policy and investment decisions aimed at strengthening Kansas’s agricultural and economic development.