The Sampling Design Tool for ArcGIS randomly selects people, animals, objects, or places in a GIS environment to infer status or change. The tool was developed to create and implement a sampling design based on randomized sampling and test different sampling designs to see which is most precise and least costly.
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The Spatial Prioritization Widget is a tool to gather mapping priorities from stakeholders in a study area. This customizable tool can be configured to identify not only the desired locations and the temporal priorities of the respondents, but also their rationales to justify these decisions or the type of mapping products they need. The data can be further analyzed to identify of patterns high priority mapping hotspots.
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The Washington State Spatial Prioritization Data Viewer has been compiled to assist the State in prioritizing seafloor mapping data needs along Washington's Pacific coast as part of their marine spatial planning process. This viewer contains an inventory of existing seafloor mapping surveys and other relevant data layers (e.g. shoreline, human use, marine boundaries, marine life, oceanography, and benthic habitats) that can be utilized by planners, managers, and scientists to prioritize areas of the coast for additional seafloor mapping data collection. This viewer contains a range of information on the type, extent, year, and source of a multitude of seafloor mapping surveys conducted along the outer coast. We request your feedback on any additional surveys which are not included.
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This digital atlas, supporting the proposed Wisconsin – Lake Michigan National Marine Sanctuary, shows the location of cultural resources, environmental research and monitoring, and human activities. It allows managers, stakeholders, and the general public to see the location of important lake resources and how these resources are distributed relative to one another. The atlas was created to identify data gaps, help prioritize future lakebed surveys, and support a better understanding of the Lake Michigan ecosystem.
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