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English: The maps use data from nationalatlas.gov, specifically countyp020.tar.gz on the Raw Data Download page. The maps also use state outline data from statesp020.tar.gz. The Florida maps use hydrogm020.tar.gz to display Lake Okeechobee.
Lafayette is located at 4] and has an elevation of 36 feet (11. [5]According to the United States Census Bureau, the city has a total area of 47.7 square miles (123.5 km 2), of which, 47.6 square miles (123.3 km 2) is land and 0.1 square miles (0.2 km 2, or 0.19%) is water.
Public works and other services, such as land use and plat review, are operated by the Lafayette Consolidated Government to serve the city of Lafayette and unincorporated areas of Lafayette Parish, and by contract some of the area municipalities. Zoning rules apply only within the city and unincorporated areas of Lafayette Parish. [125]
The City of Lafayette is required to redistrict its six council districts two years after every U.S. Census cycle.
Lafayette Parish is a part of the region of Acadiana in southern Louisiana, along the Gulf Coast.According to the U.S. Census Bureau, the parish has a total area of 269 square miles (700 km 2), of which 269 square miles (700 km 2) is land and 0.5 square miles (1.3 km 2) (0.2%) is water. [6]
Location of Lafayette Parish in Louisiana. This is a list of the National Register of Historic Places listings in Lafayette Parish, Louisiana. This is intended to be a complete list of the properties and districts on the National Register of Historic Places in Lafayette Parish, Louisiana, United States. The locations of National Register ...
Module:Location map/data/USA Louisiana Lafayette is a location map definition used to overlay markers and labels on an equirectangular projection map of Lafayette. The markers are placed by latitude and longitude coordinates on the default map or a similar map image.
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.