{
"name":"Coastal/Shoreline_Change_Short_Term",
"title":"Coastal/Shoreline_Change_Short_Term",
"type":"Map Service",
"typeKeywords":["ArcGIS Server","Service","Map Service"],
"description":"Typically, shoreline change occurring over a short time span can be characterized by cyclic or episodic non-linear behavior, such as storm-induced shoreline retreat. High short-term variability increases the shoreline change rate uncertainty and the potential for rates of shoreline change that are statistically insignificant. In many locations, the short-term trend is calculated with only 3 shorelines. As noted above, uncertainty generally decreases with an increasing number of shoreline data points; thus the small number of shorelines in the short-term calculation can result in higher uncertainty. To supplement gaps in the short-term data, end point rates were calculated at each transect that did not intersect the minimum number of three shorelines required to calculate a linear regression rate. The end point rate is calculated by dividing the distance between shorelines by the time elapsed between the oldest (1983) and the most recent (2006) shoreline. End point rates represent the net change between the two shorelines divided by the elapsed time period. Unlike the linear regression method, end point rates do not have an associated expression (such as a confidence interval) of how scattered the shoreline positions are relative to an assumed linear trend. ",
"extent":[[-8160363.726819307,-8034058.853263233],[5048450.810630198,5095547.543142633]],
"url":"http://cteco.uconn.edu/ctmaps/rest/services/Coastal/Shoreline_Change_Short_Term/MapServer"
}