Detailed numerical technical maps at a scale of 1:1,000 of the centers of ASSISI and FOLIGNO, affected by the 1997 earthquake, created in 2001. The map of Castelluccio di Norcia was created in 2004.

Author: Ann Wurst, consultantGrade/Audience: ap human geographyResource type: activitySubject topic(s): regional geography, maps, human geographyRegion: worldStandards: AP Human Geography CED TOPIC 1.7 Regional Analysis LEARNING OBJECTIVE SPS-1.A Describe different ways that geographers define regions. ESSENTIAL KNOWLEDGE SPS-1.A.1 Regions are defined on the basis of one or more unifying characteristics or on patterns of activity. SPS-1.A.2 Types of regions include formal, functional, and perceptual/vernacular. SPS-1.A.3 Regional boundaries are transitional and often contested and overlapping. SPS-1.A.4 Geographers apply regional analysis at local, national, and global scales.Objectives: Students will be able to describe different ways that geographers define regions. Students wll be able to define Regions on the basis of one ormore unifying characteristics or on patterns of activity. Students will be able to identify the types of regions (formal, functional, and perceptual/vernacular.) Students will understand that Geographers apply regional analysis at local, national, and global scales. Summary: A mapping activity that helps students identify and reflect on the regions used in AP Human Geography classes. Students will be expected to answer some culminating questions after creating their map.

One main challenge in environmental and ecological research is to map land use, the human intent to modify the earth's cover, using satellite data. We have mapped forest management, a land use, in the southeastern and northwestern United States, 1.5 million square kilometers, at high spatial. This is a novel study using spectral time series analysis, expert derived training data and a random forest classifier to map forest management, calculate probability and uncertainty of class membership.

Basic cartography of the regional territory created with the photogrammetric method, by lots and in different periods between 1985 and 2004.

Spatial coverage index compiled by East View Geospatial of set "Togo Regional Series 1:200,000 Scale Topographic Maps". Source data from DCNC (publisher). Type: Topographic. Scale: 1:200,000. Region: Africa.

Regional scale architecture: 3D maps, models and minefields

Regional Topographic Map - elaborations of 1979/1980 - scale 25000 ## To identify the element, use the union framework attached to the dataset

This dataset contains documentation on the 146 global regions used to organize responses to the ArchaeGLOBE land use questionnaire between May 18 and July 31, 2018. The regions were formed from modern administrative regions (Natural Earth 1:50m Admin1 - states and provinces, https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-1-states-provinces/). The boundaries of the polygons represent rough geographic areas that serve as analytical units useful in two respects - for the history of land use over the past 10,000 years (a moving target) and for the history of archaeological research. Some consideration was also given to creating regions that were relatively equal in size. The regionalization process went through several rounds of feedback and redrawing before arriving at the 146 regions used in the survey. No bounded regional system could ever truly reflect the complex spatial distribution of archaeological knowledge on past human land use, but operating at a regional scale was necessary to facilitate timely collaboration while achieving global coverage. Map in Google Earth Format: ArchaeGLOBE_Regions_kml.kmz Map in ArcGIS Shapefile Format: ArchaeGLOBE_Regions.zip (multiple files in zip file) The shapefile format is a digital vector file that stores geographic location and associated attribute information. It is actually a collection of several different file types: .shp — shape format: the feature geometry .shx — shape index format: a positional index of the feature geometry .dbf — attribute format: columnar attributes for each shape .prj — projection format: the coordinate system and projection information .sbn and .sbx — a spatial index of the features .shp.xml — geospatial metadata in XML format .cpg — specifies the code page for identifying character encoding Attributes: FID - a unique identifier for every object in a shapefile table (0-145) Shape - the type of object (polygon) World_ID - coded value assigned to each feature according to its division into one of seventeen ‘World Regions’ based on the geographic regions used by the Statistics Division of the United Nations (https://unstats.un.org/unsd/methodology/m49/), with small changes to better reflect archaeological scholarly communities. These large regions provide organizational structure, but are not analytical units for the study. World_RG - text description of each ‘World Region’ Archaeo_ID - unique identifier (1-146) corresponding to the region code used in the ArchaeoGLOBE land use questionnaire and all ArchaeoGLOBE datasets Archaeo_RG - text description of each region Total_Area - the total area, in square kilometers, of each region Land-Area - the total area minus the area of all lakes and reservoirs found within each region (source: https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-lakes/) PDF of Region Attribute Table: ArchaeoGLOBE Regions Attributes.pdf Excel file of Region Attribute Table: ArchaeoGLOBE Regions Attributes.xls Printed Maps in PDF Format: ArchaeoGLOBE Regions.pdf Documentation of the ArchaeoGLOBE Regional Map: ArchaeoGLOBE Regions README.doc

regional technical map at 1:10,000 scale. Edition 2001 - 2005. Lots 7 8 9 A B C D E.

Existing vegetation (EV) is the floristic composition and vegetation structure occurring at a given location at the current time. This feature set depicts the existing vegetation of the forests and grasslands of the Southwestern Region at the mid-scale as four products - life form, dominance type map units, canopy cover map units, and size map units at the time the source satellite images were acquired. Multi-season satellite images (Landsat-5 and/or Landsat ETM+) along with ancillary and derived data sets (e.g., Digital Elevation Models and spectral indices) were used to model vegetation at the mid-scale level, suitable for presentation at a scale of approximately 1:100,000. The mapping process conformed to national guidelines developed by the Forest Service as defined in the Existing Vegetation Classification and Mapping Technical Guide Version 1.0 (USDA Forest Service Gen. Tech. Report WO-67). A combination of pixel- and object-based classifiers were used to attribute polygons with life form, dominance type, canopy cover class, and size class. Polygons with shared attributes were subsequently aggregated for each product to the map units presented here.

Basic cartography of the regional territory created with the photogrammetric method, by lots and in different periods between 1980 and 2006.

Connecticut Planning Region Index is a general purpose index map of Connecticut Planning Regions based on mapped information compiled at 1:125,000 scale (1 inch equals approximately 2 miles) and a list of towns in each region available from the State of Connecticut, Office of Policy and Management. The layer is designed to be used to depict Connecticut Planning Regions at small scales or on small maps printed on regular size (8.5 x 11 inch) paper, for example. This Planning Region Index layer does not accurately represent planning region boundaries because it was digitized at 1:125,000 scale. Do not display, map or analyze this index layer with information collected at larger scales. To depict more accurate 1:24,000-scale Connecticut state, county, town, and planning region boundaries on a map, use the layer named Town, which is also published by the State of Connecticut Department of Energy & Environmental Protection. The 2012 Edition reflects consolidation of two organizations into the Lower Connecticut River Council of Governments.

I. SNEP HRU Project Background The Southeast New England Program (SNEP) region consists of watersheds in Massachusetts and Rhode Island that primarily drain into Narragansett Bay, Buzzards Bay, or Nantucket Sound. It encompasses all or portions of 134 municipalities many of which are highly developed. The region faces multiple water quality issues with stormwater being previously identified a major contributor. These maps have been generated for all 134 Municipalities including 81 subwatersheds in the SNEP region to provide organizations and municipalities a way to understand where significant stormwater pollution may be originating. For organizations or municipalities with GIS capabilities the data that created these maps is available as well. II. What are HRUs? Hydrologic Response Units (HRUs) describe a landscape through unique combinations of land use and land cover (residential, commercial, forest, etc.), soil types (A, B, C, D), and additional characteristics such as slope, and impervious cover. These landscape characteristics, or HRUs, provide the building block to quantify stormwater pollutant loads (nitrogen, phosphorus, and total suspended solids (TSS)) originating from a given land area. The HRUs and nutrient pollutant loads in stormwater provides a baseline from which reduction targets can be created. III. How can HRUs be used? These maps and their underlying data can provide critical information to municipalities, watershed organizations, EPA, and others to assess stormwater pollutant loads in SNEP watersheds. EPA expects that this information will facilitate further understanding of the distribution of stormwater pollutant load source areas throughout the watersheds. This information serves to advance a broader understanding of stormwater impacts and potential management options by the public and direct stakeholders. Consistent HRUs may help municipalities implement MS4 permitting requirements and facilitate stormwater management strategies, such as land use conversion, stormwater Control Measure (SCM) siting, and targeting areas for conservation. HRU mapping can identify best locations for SCMs and can be utilized with additional stormwater planning tools (such as EPA’s Opti-Tool) to develop a cost-effective stormwater management plan. By providing a consistent HRU map for the SNEP region, practitioners can focus their efforts on implementation of SCM strategies rather than mapping their landscape. Hotspot mapping is a tool that integrates the HRU analysis and stormwater runoff pollutant load outputs to indicate areas where pollutant loads are highest and areas that stormwater controls may be best implemented. The HRUs and pollutant loads can be overlayed with parcel analysis to determine which parcels have high loads/areas of large impervious cover. The parcel data can help towns prioritize their efforts by determining the properties with highest potential to reduce pollutant loads through stormwater controls. Similarly, it can help determine which properties have large stormwater pollutant loads. IV. Other Resources HRUs That have been completed by EPA - Taunton River Watershed FDC Project and Tisbury, MA IC Disconnection Project The Cape Cod Commission developed HRUs for Barnstable County (CCC: Barnstable County HRUs). The UNH Stormwater Center developed parcel level hotspot mapping in New Hampshire for municipalities to prioritize where new BMPs should be placed (UNHSC: NH Hotspot Mapping).

This digital dataset represents the surface hydrogeology of an approximately 45,000 square-kilometer area of the Death Valley regional ground-water flow system (DVRFS) in southern Nevada and California. Faunt and others (2004) constructed the map by merging mapped lithostratigraphic units into 27 hydrogeologic units (HGUs). The HGUs represent rocks and deposits of considerable lateral extent and distinct hydrologic properties. The hydrogeologic map was fundamental to the development of a hydrogeologic framework model and a transient ground-water flow model of the DVRFS. These models are the most recent in a number of regional-scale models developed by the U.S. Geological Survey (USGS) for the U.S. Department of Energy (DOE) to support investigations at the Nevada Test Site (NTS) and at Yucca Mountain, Nevada (see "Larger Work Citation", Chapter A, page 8).

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Basic mapping of the regional territory carried out using the photogrammetric method, in batches and at different times between 1985 and 2006 with full regional coverage.

This digital map database provides an areally continuous representation of the Quaternary surficial deposits of the San Francisco Bay region merged from the database files from Knudsen and others (2000) and Witter and others (2006). The more detailed mapping by Witter and others (2006) of the inner part of the region (compiled at a scale of 1:24,000), is given precedence over the less detailed mapping by Knudsen and others (2000) of the outer part of the area (compiled at a scale of 1:100,000). The Quaternary map database is accompanied by a list of the map-unit names represented by polygon identities, a digital map index of the 1:24,000-scale topographic quadrangles of the region, and a figure illustrating the contents of the database. The Quaternary map database includes line work and the identity of the Quaternary map units, but no further description of the map units or how they were mapped. Use of the database should thus be accompanied by consultation with the original reports, which describe the map units and mapping procedures: citation of this database should be accompanied by citation of those original reports. As with all such digital maps, use of this database should attend to the compilation scales involved and not try to extract spatial detail or accuracy beyond those limits. Database layers: SFBQuat-lns: Quaternary map database: unit boundaries and their attributes SFBQuat-pys: Quaternary map database: polygons and their attributes SFBIndex-lns: Boundaries of 7.5-minute quadrangles for the map area, distinguishing those that form boundaries of 15-minute and 30x60-minute quadrangles SFBIndex-pys: 7.5-minute quadrangles, and for those within map area, their names and the names of the 30x60-minute quadrangles that contain them. The liquefaction ratings presented in the original reports for the various Quaternary map units remain valid and can be assigned to the units in this database if desired, with ratings of Witter and others (2006) given precedence. Assembly of the Quaternary map database involved stripping out all the information from the source maps that dealt with liquefaction, a major component of the original reports, and adjusting line work at the common boundary between the two source maps to produce a nearly seamless spatial database. The common boundary between the two sources is retained. Mismatches remaining at that common boundary are of two types: (1) contrasts in the degree of subdivision of the deposits resulting from the different compilation scales, and (2) terminations of narrow bands of water and artificial fill and levees at quadrangle boundaries that resulted from differences in details shown on the 1:24,000-scale topographic maps used as a source of mapping information in the original reports. The illustrative figure accompanying the database shows the content of the database plotted at a scale of 1:275,000, with the different map units distinguished by color and the different types of lines distinguished by symbol and color. An index map in that figure shows the 165 7½-minute quadrangles covering the region and the areas of the two source maps. Knudsen, K.L., Sowers, J.M., Witter, R.C., Wentworth, C.M., Helley, E.J., Nicholson, R.S., Wright, H.M., and Brown, K.M., 2000, Preliminary maps of Quaternary deposits and liquefaction susceptibility, nine-county San Francisco Bay region, California: a digital database: U.S. Geological Survey Open File Report 00-444. http://pubs.usgs.gov/of/2000/of00-444/ Witter, R.C., Knudsen, K.L, Sowers, J.M., Wentworth, C.M., Koehler, R.D., Randolph, C. E., Brooks, S.K., and Gans, K.D., 2006, Maps of Quaternary Deposits and Liquefaction Susceptibility in the Central San Francisco Bay Region, California: U.S. Geological Survey Open-File Report 06-1037 (http://pubs.usgs.gov/of/2006/1037)

This boundary dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This boundary dataset was generated to define the extent of the study area, which comprises the border between Syria and Turkey, Syria and Iraq, the River Tigris and the River Euphrates. All related data collected was confined within this boundary dataset with the exception of the archaeological dataset. Archaeological sites were identified and mapped along both banks of the River Euphrates. Also, the town of Dayr az-Zawr, where the 1963 precipitation and temperature monthly values were collected for one of the datasets, falls outside the Jazira Region. Derived from 1:200,000 French Levant Map Series (Further Information element in this metadata record provides list of sheets).The boundary line dataset was captured from 11 map sheets, which were based on the French Levant surveys conducted in Syria during the 1930s and mapped at a scale of 1:200,000. The size of each map measures 69 x 59 cm. The boundary line on each sheet was traced to mylar. Subsequently, each mylar sheet was photocopied and reduced in size to an 11 x 17 inch sheet. These sheets were merged to form the contiguous area comprising the full extent of the boundary for the study area. This was then traced again to another mylar sheet and subsequently scanned and cleaned for further processing and use in a GIS as a polygon coverage. Thesis M 2001 MATH, Ohio University Mathys, Antone J 'A GIS comparative analysis of bronze age settlement patterns and the contemporary physical landscape in the Jazira Region of Syria'., French Levant Map Series (1:200,000) for Syrie (Syria). Projected to Lambert grid. These are colour maps measuring to 69 x 59 cm in size. The dataset was created from the following sheet numbers and titles: 1) NI-37 XVII, Abou Kemal 2) NI-37 XVIII, Ana 3) NI-37 XXI, Ressafe 4) NI-37 XXII, Raqqa 5) NI-37 XXIII, Deir ez Zoir 6) NI-37 XXIV, Bouara 7) NI-37-III, Djerablous 8) NJ-37 IV, Toual Aaba 9) NJ-37 V, Hassetche 10) NJ-37 VI, Qamishliye-Sinjar 11) (No sheet number), Qaratchok-Darh Dressepar la Service Geographique des F.F.L. en 1945 Reimprime par l'Institut Geographique National en 1950 (Originally produced by this Geographic Service of the F.F.L. (Forces Francaises Libres) in 1945 and reprinted by the National Geographic Institute in 1950). Paris: France. Institut Geographique National, 1945-1950. Original map series might be traced to Beirut: Bureau Topographique des Troupes francaises du Levant, 1933-1938. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-09 and migrated to Edinburgh DataShare on 2017-02-21.

Measures of both global and local-scale (fine-scale) spatial map errors from Ground Control Point (GCP) residual errors.

This open-file report presents the results of the USGS Mineral Resources Program activity to compile a national-scale geologic map database to support national and regional level projects, including mineral resource and geo-environmental assessments. The only comprehensive sources of regional- and national-scale geologic maps are state geologic maps with scales ranging from 1:100,000 to 1:1,000,000. Digital versions of these state maps form the core of what is presented here. Because no adequate geologic map exists for the state of Alaska, it is being compiled in regional blocks that also form part of this national database. It is expected that this series will completed by approximately the end of 2007. These maps and databases are being released in blocks of states or, in the case of Alaska, as compiled blocks of 1:250,000-scale quadrangles as chapters in this series. For Alaska, formal maps as well as databases are being published here, whereas for the conterminous U.S. only state databases and preview graphics are presented, because published maps for most states already exist. For Alaska these regional compilations will form the base for compiling a new geologic map of the state. As documented in Chapter A, standards for the conterminous U.S. are somewhat different than those for Alaska and Hawaii.