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Section 207(f)(2) of the E-Government Act of 2002 requires federal agencies to develop an inventory of information to be published on their Web sites, establish a schedule for publishing information, make those schedules available for public comment, and post the schedules and priorities on the Web site.
Geographic information system (GIS) and desktop publishing technologies were used in the production of these thematic maps. NASS developed an automated map production system to generate digital map files based on statistical data from the 2017 Census of Agriculture. The system utilized agricultural statistical data files, geographic area boundary files, land use/cover boundary files, map parameter data files, and customized GIS and statistical software to produce thematic dot-density maps. The customized software performed statistical calculations to allocate the number of dots for a geographic area. The software also executed other cartographic functions, including: assigning symbology to represent the data; randomly placing dots; creating and positioning map titles, legends and notes; and outputting individual maps to digital image files. Colors for the maps were selected with the assistance of ColorBrewer , an online tool for selecting map color schemes. The color schemes were developed by Dr. Cynthia A. Brewer at Pennsylvania State University.
The dot-density maps portray quantitative data as a dot which represents a number of the phenomenon found within the boundary of a geographic area. The pattern of distributed dots reflects the general locations where the phenomenon was most likely to occur. The pattern and number of dots within a geographic area reveal the density of the phenomenon. The traditional dot map symbolizes (positive) data with blue dots.
Placement of dots utilized land use/cover files, weighting factors, customized statistical algorithms, and GIS software to allocate and randomly place dots within geographic areas. A land use/cover file is a digital vector file containing 26 land use/cover categories. NASS statisticians assigned weighting factors to each land use/cover category based on the likelihood of a specific type of agricultural activity occurring within a category. The weighted land use/cover files were merged with the geographic area boundary files to produce weighted land use/cover filter files. Customized statistical software used the weighted land use/cover filter files and statistical data files to calculate and assign the number of dots for each weighted land use/cover polygon based on the dot value, polygon size, and assigned weighting factor. GIS software then randomly placed the specified number of dots within each weighted land use/cover polygon. Because dot positions were randomly determined, the dots do not show the actual locations of the phenomena.
The dot value assigned to a dot actually reflects a range of data values. For example, if the legend indicates that one dot equals 500 acres of apples, then in most cases, no dot is placed for county-level geographic areas with data values less than 250 acres of apples, one dot is placed for county-level geographic areas with data values ranging from 250 to 749 acres of apples, two dots are placed for county-level geographic areas with data values ranging from 750 to 1,249 acres of apples, and so on. This methodology can yield an undercount of dots at the state level, so dots are added to the map to reach the calculated state number of dots by including an extra dot for the county-level geographic areas with the largest positive remainder values. For example, if a state has a total of 1,390 apples acres, with county A having 240 acres of apples and county B having 1,150 acres of apples, then normally county A would receive no dots and county B would receive 2 dots, for a total of 2 dots. However, there should be a total of 3 dots shown at the state level. Therefore, an additional dot would be placed in county A, because the remainder in county A (240 - 0 = 240) is greater than the remainder in county B (1,150 - 1,000 = 150). NASS statisticians selected dot values such that widely varying dot densities for different areas are illustrated. Geographic areas with non-disclosed data are shown because a dot represents a range of data values rather than a specific data value.
Environmental journalism is about telling stories of our planet. It's about revealing the hidden impacts of human activity on nature. It's about showing the effects of climate change, deforestation, pollution, and more. Geographic Information Systems (GIS) are powerful tools for this job. They help journalists uncover, analyze, and present complex environmental data.
The Mercator projection may sound like a fancy term from an old dusty geography textbook, but it is in fact a vital element of our everyday lives. While it may have receded into the background of our physical atlases, the era of digital mapping has given it a fresh burst of life. But what is the Mercator projection, and why is it the preferred choice for web mapping? That's exactly what we're going to explore in this article.
Creating a natural disaster map is crucial for preparedness and response. It helps visualize data and make informed decisions. Here's a step-by-step guide on how to create one using Atlas, a browser-based GIS platform.
The even stranger part of the problem is that I can create a new map and add nodes to it and have those nodes work. However, if I copy nodes from my existing map to that new map, those copied over nodes will show up in grey (as shown above), and then every other node that gets added to the new map will ALSO be grey.
I ran into this same issue and was given a band aid workaround fix but if you add new objects you'll need to repeat these steps. Ultimately I was told it would be best to move to the modern dashboard. Am running 2024.1
1.) Navigate to this location on your Primary polling engine or Additional Web Servers: C:\Users\SolarWinds Orion Application Pool\AppData\Local\Temp\SolarWinds\NetworkAtlas\Orion\SolarWinds\NetworkAtlas\Maps\Orion\localhost
Just seen this and your fix to the issue.
We experienced this a while back and scratched heads for ages before we gave up and just re-created the Network Atlas map.
That said, I encourage you to start moving all your maps to Orion Maps [or as SW like to call them, Intelligent Maps] as NA is under a deprecation notice and could disappear anytime soon.
Aqueduct's global water risk mapping tool helps companies, investors, governments, and other users understand where and how water risks and opportunities are emerging worldwide. The Atlas uses a robust, peer reviewed methodology and the best-available data to create high-resolution, customizable global maps of water risk.
Water scarcity is one of the defining issues of the 21st century. In its Global Risks 2013 report, the World Economic Forum identified water supply crises as one of the highest impact and most likely risks facing the planet. With the support of a diverse group of partners, the World Resources Institute built Aqueduct to help companies, investors, governments, and communities better understand where and how water risks are emerging around the world.
The Precipitation Frequency Data Server (PFDS) is a point-and-click interface developed to deliver NOAA Atlas 14 precipitation frequency estimates and associated information. Upon clicking a state on the map above or selecting a state name from the drop-down menu, an interactive map of that state will be displayed. From there, a user can identify a location for which precipitation frequency estimates are needed.
Estimates and their confidence intervals can be displayed directly as tables or graphs via separate tabs. Links to supplementary information (such as ASCII grids of estimates, associated temporal distributions of heavy rainfall, time series data at observation sites, cartographic maps, etc.) can also be found.
The interactive Fishing Atlas map shows contours for 218 county and state lakes, along with 2,000 fish structure locations. It also includes road maps, lakes amenities and topography. Quickly zoom in on the lake of your choice with the search function.
Fish distribution maps are a valuable and necessary part of conservation and management work, as they allow scientists to better complete field assessments and to identify range extensions and species extirpations. They are also useful to anglers, naturalists, and others interested in our water resources.
The Atlas of Inland Fishes of New York (PDF) (leaves DEC site), published in 2016, is available on the New York State Museum website. The users of this atlas, whether they are anglers, naturalists, or professional scientists, are provided with several resources to determine where a specific fish species has been known to occur in the state throughout the past and present.
Our goal in generating the 179 species distribution maps was to provide information on the current distribution of each species of inland fish by recording each documented collection as a point on the map. However, fish ranges are dynamic and, for many species, rarely hold constant over long periods of time. Extirpations of small populations, range expansions and contractions due to habitat modification, introductions, and invasions all force changes in our understanding of the range of any particular species. To provide a feel for change, the points are coded on all maps as follows:
This should allow any reader to assess gross changes in range over time. The text accompanying each map summarizes the habitat, native range and the status of a species. The 18 watersheds of NY are shown in Figure 1, and are the basis for comments about species gains or losses of distributional range.
The Vermont Flood Ready Atlas is an online-map tool that can help you identify critical facilities, transportation services and buildings in your community that are at risk of damage from flooding. The Atlas can also help you identify local watersheds and the extent of natural flood protection provided by forests, wetlands, floodplains and river corridors.
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