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These data contain observation and null polygons for waterfowl aerial surveys of Lake Michigan collected through the years 2009-2014. Polygons were created adjacent to either side of the flight lines (transects). The right and left offset of the polygons from the flight path, was determined using the average altitude of the plane along the transect and the observation angle through the plane’s window. Observed birds were counted and identified by species. This count data was attributed to the polygon closest to the point along the transect where the observation occurred, and on the side of the plane in which the observation took place. The point data represent counts where each point represents a single species....
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Geographic patterns can change through time and/or across space, and these changes can lead to differences in the movement pattern and body condition of organisms, their interactions with each other and their environment, and ultimately lead to population and community-level changes. When quantifying landscape patterns using remotely sensed data, it is important to recognize that each pixel (i.e. picture element) has a temporal and spatial context. A pixel’s temporal context refers to its past and present classification. The spatial context of a pixel depends on the classification of neighbouring pixels, and the size of the area considered as the neighbourhood. Despite the fact that pixels are the basic unit of...
This ArcGIS Add-In tool assigns telemetry receivers a “river address,” with the National Hydrography Dataset (NHD) flowlines providing the river name (analogous to a street name in a postal address) and a distance along flowline (the house number in a postal address). Using this information, it is possible to sequence receivers along a flowline. Once sequenced, receiver data can then be analyzed to identify where receivers are being bypassed by receiver tags, or if there are instances of improbable tag movement between receivers.
Batch Kernel Density Tool Author: Timothy Fox, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, Wisconsin 54603 Platform developed: ArcMap 10.5 Addin The Batch Kernel Density Too is an ArcGIS ArcMap add-in developed at UMESC. When using this tool, a user can perform a magnitude-per-unit area analysis using point or polyline input data across multiple search radii (Figure 1). Files -FoxBatchKernelDensityTool.esriAddInn this is the compiled ArcGIS AddIn file that can be added ArcGIS 10.5 Installation: To install this tool: within a session of ArcMap 10.5, open the Add-in Manager dialog click the Options tab add the folder location to where you locally download the file FoxBatchKernelDensityTool.esriAddIn...
Executing the Dwell Time analysis condenses receiver/tag records into readable records of fish movement and receiver effectiveness. Fish movement is described by a temporal sequence of receiver/tag events (durations), where a tag is visible to a specific receiver or collection of receivers. The number and frequency of contacts within a receiver/tag event are summarized by the analysis. A receiver/tag event ends, and a new receiver/tag event begins when the tag is visible to a different set of receivers. Additionally, the Dwell Time analysis identifies which receivers have overlapping detection ranges and identify which receivers are potentially being bypassed by tagged fish. The SQL code included here is run...
Variables within the URL*: fsn: denotes field station number begin: the beginning of a date range end: the end of a date range species: denotes LTRM species code lmin: minimum fish length lmax: maximum fish length The URL request returns point features with the following attribute data: barcode, row, gear_code, start_date, finish_date, species_code, length, and catch*. *LTRM fisheries data metadata including relevant code values can be found at: https://www.umesc.usgs.gov/cgi-bin/ltrmp/fish/fish_meta.pl GeoJSON record returned using the example URL shown above: {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[-91.2409970013,43.7770371996]},"properties":{"barcode":12008087,"row":14,"gear_code":"D","start_date":"20151008","finish_d...
This product is a media player application and user guide. The application generates set-interval and random-interval media play schedules. When the application is used to execute the play schedule, it creates its own metadata documentation. The Carp Media Player documents the intended play schedule, generates a real-time log of the media played, and documents if there were any interruptions.
File name: FoxSymbolTweaker_10_5.esriAddIn this is the compiled ArcGIS AddIn file that can be added ArcGIS 10.5 Overview Symbol Tweaker is an ArcGIS ArcMap add-in tool developed at the UMESC. When using this tool, a user can: Adjust RGB or HSV parameters of selected symbols from feature and raster data layers Create unique color ramps for feature and raster data layers Copy fore, back, and outline colors interchangeably Create equal interval classifications beyond the limitations imposed by ArcMap Remove classes from unique values renderers that do not exist in the underlying data Find the absolute minimum and maximum values from a collection of raster layers En masse, copy a chosen renderer to a group of selected...
Files -FoxCompositeRasterAndDivergenceTool_10_5.esriAddInn this is the compiled ArcGIS AddIn file that can be added ArcGIS 10.5 Overview The Composite Raster and Divergence Tool is an ArcGIS ArcMap add-in developed at UMESC. When using this tool, a user can: create a date prioritized composite raster from a collection of raster layers create a lookup raster for the composite raster that identifies which input layers were used to create the composite raster create a divergence raster where pixel values represent the divergence from a user specified value Installation: To install this tool: within a session of ArcMap 10.5, open the Add-in Manager dialog click the Options tab add the folder location to where you...
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The data are input data files to run the forest simulation model Landis-II for Isle Royale National Park. Files include: a) Initial_Comm, which includes the location of each mapcode, b) Cohort_ages, which includes the ages for each tree species-cohort within each mapcode, c) Ecoregions, which consist of different regions of soils and climate, d) Ecoregion_codes, which define the ecoregions, and e) Species_Params, which link the potential establishment and growth rates for each species with each ecoregion.


    map background search result map search result map Curve Fit: a pixel-level raster regression tool for mapping spatial patterns Isle Royale National Park: Input data to run Landis-II Lake Michigan Sea Duck Survey 2009-2014 Isle Royale National Park: Input data to run Landis-II Lake Michigan Sea Duck Survey 2009-2014 Curve Fit: a pixel-level raster regression tool for mapping spatial patterns