![]() sas) Version: 2.4.0 Depends: R (> 3.1.0) Imports: data.table. Here is the complete code for this example.ĭownload data from NC OneMap North Carolina GeoSpatial Portal, and search for “Major Hydrography” and download this shapefile. dSYM Package: argonDash Title: Argon Shiny Dashboard Template Version: 0.2.0. This example is building on earlier blog entries and highlights the: ![]() The path of the storm is also plotted so you can see why the Cape Fear River Basin had major flooding. For example, the SASHELP. These files do change over time (as shown in the first example below) so it is important to visit MAPSONLINE on a regular basis to download newer versions of files. In this example, North Carolina GeoSpatial data for the major river basins is downloaded and used in PROC SGMAP as SERIES statements. SAS 9.2 will ship with the latest versions of the SASHELP.ZIPCODE file and all SAS-provided maps. Parts of North Carolina had over 30 inches of rain from the storm, and this caused many of North Carolina’s rivers to overflow their banks because the water just does not have any place to go. In the function, you need to specify latitude and longitude of zip codes. Much of the damage was from flooding because the storm moved slowly over North and South Carolina. The GEODIST functions works for all the countries. Example US survey data with ZIP codes in dataset: PROC GEOCODE DATAdata1. Below is some pseudo code of what I'm trying to do. In August 2018, Hurricane Florence came on shore in North Carolina. In SAS, what I want to do is, using the geodist function, compare the distance between each row and create an indicator, 'nearby', that equals 1 if the distance between that id and any other id is less than 50 miles and 'newid' 1 for the other row.
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