The Potential Water Supply Issues dataset encompasses the seven county Twin Cities (Minneapolis and St. Paul) Metropolitan Area in Minnesota. The dataset was developed by the Metropolitan Council, a regional governmental organization that deals, in part, with regional issues and long range planning for the Twin Cities area. The data were interpreted from several existing state agencies datasets. This dataset is composed of one feature class and three standalone tables. - PotentialWaterSupplyIssues = Detailed potential water supply issue polygons - PotentialWaterSupplyIssuesByCTU = Standalone table with summary of potential water supply issues by CTU - PotentialWaterSupplyIssuesByCounty = Standalone table with summary of potential water supply issues by county - PotentialWaterSupplyIssuesByWatershed = Standalone table with summary of potential water supply issues by Watershed Management District or Organization See "Attributes" section of the metadata for a detailed description of each of these water supply issue categories.
This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. To quantify shoreline rates of change (erosion or accretion), Maryland Geological Survey (MGS) used historical and recent shorelines spanning 1993-2010 as input into the Digital Shoreline Analysis System (DSAS) Version 4. 3. DSAS, a computer program developed by the U. S. Geological Survey (USGS), determines linear rates of shoreline change along closely spaced, shore-normal transects. Based on DSAS output, MGS assigned generalized rate of change categories as attributes to a recent shoreline for Prince George's County. This recent shoreline consisted of the National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP) digital shoreline currently available for Prince George's County; and 2) portions of the Maryland Department of Natural Resources (MD DNR) Critical Area Commission (CAC) digital shoreline for Prince George's County. Based on the results of an End Point Rate (EPR) analysis on the ca. 1990s shoreline and the ca. 2000/2010 shoreline (recent shoreline), MGS grouped the rate results into the following general categories: (a) No change (-0. 01 to 0. 01 feet/year), (b) Accretion (greater than 0. 01 feet/year), (c) Slight erosion rate (0 to -2 feet/year), (d) Low erosion rate (-2 to -4 feet/year), (e) Moderate erosion rate (-4 to -8 ft/yr), (f) High erosion rate (greater than -8 feet/year), (g) Protected, (h) No data (insufficient shorelines to calculate 10-year EPR rate), (i) No data (no transects cast; unprotected or unknown shoreline condition), and (j) Rates not delivered (calculated rates suspect). The NOAA CUSP shoreline represents the shoreline position in Prince George's County between the years 2005-2010. The CAC shoreline represents the shoreline position in Prince George's County in 2007. In Prince George s County, the NOAA CUSP data set covered approximately 60% of the shoreline in the county. MGS decided to supplement the NOAA CUSP data with CAC data in the following areas where NOAA CUSP data was missing: Anacostia River, from approximately the Bladensburg Road bridge, north to the Decatur Street bridge; Northwest Branch Anacostia River, from approximately the 38thStreet bridge, south to its confluence with the Anacostia River; the lower reaches of Swanson Creek, west of Chalk Point; Spice Creek and an unnamed creek north of Spice Creek; and Patuxent River and its major tributaries, from approximately the Merkle Wildlife Sanctuary, north to the upper reaches of the Patuxent River. To identify which shoreline source is responsible for a shoreline segment, view the DSAS_SRC attribute table field -- CAC indicates a shoreline sourced from MD DNR CAC data set; NOAA CUSP indicates a shoreline sourced from the NOAA CUSP data set. Negative rate of change values indicate erosion, and positive values indicate accretion. In general, MGS tried to attribute lengths of shoreline of at least 80 meters in length sharing similar rates of change. Last Updated: 6/2017Map Service Link: http://geodata. md. gov/imap/rest/services/Hydrology/MD_ShorelineChanges/MapServer/12
37 years later, at a film festival in Lisbon, someone blames this American TV executive for her murder.
In this, the third book of The Freedom Trilogy, Allison, still relentlessly committed to the freedom of
“The U.S. Census Bureau has designed a multimedia application experience, a story map, called ‘Rural America: How Does the U.S. Census Bureau Define Rural?’ This story map contains interactive web maps, tables, information, and images to help explain how the Census Bureau defines ‘rural.’ Many rural communities rely on American Community Survey (ACS) 5-year estimates, rather than ACS 1-year estimates, because of population thresholds. This story map helps data users understand the history and definition of ‘rural.’ Watch this video and then visit the story map to learn more.” Visit the Story Map: http://go.usa.gov/x8yPZ
Census geography brings statistical data to life as seen in their newly designed interactive story map, called “Rural America: How Does the U.S. Census Bureau Define ‘Rural?” Not only does this story map helps explain how the Census Bureau defines rural, but it displays some fantastic data that helps students to explore rural America. Many APHG teachers refer to unit 5 as the “ag unit” but the full title, Agriculture, food production, and rural land use, certainly does highlight why this can be a valuable resource.
“The sense that the normal America is out there somewhere in a hamlet is misplaced: it’s not in a small town at all. I calculated how demographically similar each U.S. metropolitan area is to the U.S. overall, based on age, educational attainment, and race and ethnicity.1 The index equals 100 if a metro’s demographic mix were identical to that of the U.S. overall.”
We often do imagine that your typical American is from the Heartland, and that very term, strengthens that connotation. 100 years ago that was true that your average American was one a farm or a small town, as 72% of Americans lived in rural areas. Today, that is decidedly not the case but we still sometimes think (and act) as if it were (84% today live in urban areas). The United States is urban, diverse, and bi-coastal in it’s primary demographic composition.
This article, with its charts and interactive maps, is worth exploring to show some of the important spatial patterns of internal migration. It’s not hard to realize that larger, cosmopolitan metro areas will have an advantage in attracting and keeping prospective college graduates; the question that we should be asking our students is how will this impact neighborhoods, cities and regions?
Earmark - To Development Projects, Inc. for site preparation for the Downtown Dayton Northeast Quadrant in Dayton, Ohio
To Development Projects, Inc. for site preparation for the Downtown Dayton Northeast Quadrant in Dayton, Ohio
Citation Excerpt: $250,000 to Development Projects, Inc. for site preparation for the Downtown Dayton Northeast Quadrant in Dayton, Ohio
The core of that command is the verb ausleben — to act out, to live out, to enjoy life. Its a separable verb, so it becomes Leb … aus. in that sentence. Dich simply is the accusative of du, here it means yourself.
You just use it as an example how to form an imperative with an reflexive verb? – Iris Aug 13 at 8:49
Let it out is translated to lass es raus.... I honestly don't understand what you mean. – Iris Aug 15 at 7:11
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