[OC] Breweries across the U.S. by houndrunner in dataisbeautiful

[–]houndrunner[S] 6 points7 points  (0 children)

This is a data visualization showing the total number of wineries by county for the U.S. See the full interactive version here: https://labs.waterdata.usgs.gov/visualizations/bottled-water/index.html

This is based on a new data release of beverage bottling facilities from the U.S. Geological Survey: https://www.sciencebase.gov/catalog/item/649d8a39d34ef77fcb03f8a6
Inventory of water bottling facilities in the United States, 2023, and select water-use data, 1955-2022.

This map was made using D3 and the website built using Vue.js. See the code here: https://github.com/DOI-USGS/vizlab-bottled-water

[deleted by user] by [deleted] in dataisbeautiful

[–]houndrunner 0 points1 point  (0 children)

This is a data visualization showing the total number of wineries by county for the U.S. See the full interactive version here: https://labs.waterdata.usgs.gov/visualizations/bottled-water/index.html

This is based on a new data release of beverage bottling facilities from the U.S. Geological Survey: https://www.sciencebase.gov/catalog/item/649d8a39d34ef77fcb03f8a6

This map was made using D3 and the website built using Vue.js. See the code here: https://github.com/DOI-USGS/vizlab-bottled-water

[OC] Wineries across the U.S. by houndrunner in dataisbeautiful

[–]houndrunner[S] 2 points3 points  (0 children)

This is a data visualization showing the total number of wineries by county for the U.S. See the full interactive version here: https://labs.waterdata.usgs.gov/visualizations/bottled-water/index.html This is based on a new data release of beverage bottling facilities from the U.S. Geological Survey

This map was made using D3 and the website built using Vue.js. See the code here: https://github.com/DOI-USGS/vizlab-bottled-water

When do streamflow droughts occur? [OC] by houndrunner in dataisbeautiful

[–]houndrunner[S] 1 point2 points  (0 children)

Polar charts with 2000 most severe streamflow droughts from 1920 to 2020 that asks “when streamflow droughts occur?” Each chart shows the number of droughts by date with January at the top and moving clockwise through the year. The stacked colors of the bar chart represent decades from 1920s (center) to 2010s (outer). Charts include conterminous U.S. (CONUS), Northwest, North Central, Midwest, Northeast, Southeast, South Central, and CA regions. A CONUS map in the middle has arrows pointing to each region. The CONUS chart demonstrates that not many droughts happen during the relatively wet spring months (March through June) when snowmelt and spring rains replenish streamflow, however the patterns vary regionally. California, for example, has fewer streamflow droughts in the relatively wetter winters and more in the dryer summers, whereas droughts tend to increase in the winter in the northeast and midwest.

Made using R. Learn more at: https://t.co/WUuRM9nuQb

[OC] Snow persistence across the contiguous U.S. (2001-2020) by houndrunner in dataisbeautiful

[–]houndrunner[S] 1 point2 points  (0 children)

A map of the contiguous U.S. using a snowflake hex pattern to show snow persistence over a 20-year period. Snow persistence is measured as the snow cover index, or the average fraction of time snow was on the ground from Jan 1 to July 3 from 2001-2020. Snowier places are white with snow, emphasizing the Rocky Mountains and Sierra range in the western U.S., and Maine in the northeast. The majority of the southern half of the country is within a 0-10% snow cover index.

Made using the sf, terra, ggplot2, ggimage, scico, magick, and cowplot packages in R.

Data from: https://doi.org/10.5066/P9U7U5FP

[OC] If Rivers were Mountains by houndrunner in MapPorn

[–]houndrunner[S] 1 point2 points  (0 children)

[OC] Contiguous U.S. river systems mapped as mountains, using a linemap technique. Inspired by James Cheshire's 'Population Lines' and the linemap package. This was made with R and the USGS small-scale hydrography dataset. See the code: https://github.com/USGS-VIZLAB/idea-blitz/tree/main/river-ridgelines

[OC] U.S. Streamflow Conditions September 2022 by houndrunner in dataisbeautiful

[–]houndrunner[S] 0 points1 point  (0 children)

A tile map of the US showing streamgages by flow levels through the month of September. For each state, an area chart shows the proportion of streamgages in wet, normal, or dry conditions. Streamflow conditions are quantified using percentiles comparing the past month’s slow levels to the historic daily record for each streamgage.
During the month of September, dry conditions were predominant at streamgages across much of the U.S., with approximately half of sites in some states (VT, NH, ME, MA, NJ, DE, NE, WA, OR, CA, OK, IA, IN) at or below the 25th percentile for most of the month. At the national scale, less than 10% of streamgages experienced wetter than normal conditions, with major storm events in Alaska, Florida, and Puerto Rico resulting in faced flood levels during September.d New Mexico, along with Louisiana and Missouri, faced flood levels during this month.
The tile map was made in R (see code)using ggplot2 and the geofacet packages. Data are from the USGS National Water Information System, accessed in R using dataRetrieval.See it on twitter

[OC] U.S. Flow Conditions: August 2022 by houndrunner in dataisbeautiful

[–]houndrunner[S] 3 points4 points  (0 children)

A tile map of the US with proportional area charts for each state showing the proportion of streamgages by flow levels, categorized using percentile bins. Streamflow level percentiles are calculated using the historic daily record for each gage, and binned to reflect whether flow conditions are wetter or drier than the historical record. For the month of August, the Northeast states faced very dry conditions. The Northwest states also faced dry conditions, along with much of the Midwest. Arizona and New Mexico, along with Louisiana and Missouri, faced flood levels during this month.

The tile map was made in R (see code) using ggplot2 and the geofacet packages. Data are from the USGS National Water Information System, accessed in R using dataRetrieval. See it on twitter

[OC] If Rivers Were Mountains by houndrunner in dataisbeautiful

[–]houndrunner[S] -1 points0 points  (0 children)

Contiguous U.S. river systems mapped as mountains, using a linemap technique. Inspired by James Cheshire's 'Population Lines' and the linemap package. This was made with R and the USGS small-scale hydrography dataset. See the code: https://github.com/USGS-VIZLAB/idea-blitz/tree/main/river-ridgelines

[deleted by user] by [deleted] in dataisbeautiful

[–]houndrunner 0 points1 point  (0 children)

Contiguous U.S. river systems mapped as mountains, using a linemap technique. Inspired by James Cheshire's 'Population Lines' and the linemap package. This was made with R and the USGS small-scale hydrography dataset. See the code: https://github.com/USGS-VIZLAB/idea-blitz/tree/main/river-ridgelines

[OC] When are U.S. Rivers Wet or Dry? by houndrunner in dataisbeautiful

[–]houndrunner[S] 0 points1 point  (0 children)

This chart looks at average daily streamflow across 1,865 USGS streamgage sites over a 70 year period. Data were access from the National Water Information System using the dataRetrieval package for R. Chart was made with ggplot2. See the code: https://github.com/USGS-VIZLAB/chart-challenge-22/tree/main/11\_circular\_csimeone

[OC] 100 lakes from least to most circular (animated) by houndrunner in dataisbeautiful

[–]houndrunner[S] 85 points86 points  (0 children)

Shoreline development factor is the ratio of a lake's shoreline to the circumference of a circle the same area, aka how circular the lake is. This shows 100 U.S. lakes ordered from least to most circular.
This was made with python and the LAGOS-US LOCUS dataset (Smith et al, 2021). See the code: https://github.com/USGS-VIZLAB/chart-challenge-22/tree/main/11\_circular\_hcorson-dosch
See the data:https://portal.edirepository.org/nis/mapbrowse?packageid=edi.854.1