WMS of the physical-political map 1:250.000 monochromatic - Edition 20146 - Emilia-Romagna Region

To understand the relationship between place and politics, we must measure both political attitudes and the ways in which place is represented in the minds of individuals. In this paper, we assess a new measure of mental-representation of geography, in which survey respondents draw their own local communities on maps and describe them. This mapping measure has been used in Canada, the UK, Denmark, and the U.S. so far. We use a panel study in Canada to present evidence that these maps are both valid and reliable measures of a personally relevant geographic area, laying the measurement groundwork for the growing number of studies using this technology. We hope to set efforts to measure ‘place’ for the study of context and politics on firmer footing. Our validity assessments show that individuals are thinking about people and places with which they have regular contact when asked to draw their communities. Our reliability assessments show that people can draw more or less the same map twice, even when the exercise is repeated months later. Finally, we provide evidence that the concept of community is a tangible consideration in the minds of ordinary citizens and is not simply a normative aspiration or motivation.

WMS of the Physical-Political Map 1:250.000 in color - 2016 Edition - Emilia-Romagna Region

File descriptions: Village_level_calculations.R — calculates village-level metrics Parcels_sample.txt — random sample of 37,295 parcels from 25,000 unique locations, a random sample of a complete data set of 65,201 unique locations Shikoku_Voronoi_map.R — code to generate Voronoi map “Figure_11_Interactive_map_of_Iyo.html” Shikoku_Voronoi_data.txt — data for Shikoku_Voronoi_map.R gadm40_JPN_shp — folder os shapefiles for Shikoku_Voronoi_map.R Domain_Simpson_complete.txt — complete domain-level data for logit calculations, based on all 65,201 locations and 97,553 parcels.

ResourcesMapTeacher guide Student worksheetVocabulary and puzzlesSelf-check questionsGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.AP skills & objectives (CED)Skill 1.D: Describe a relevant geographic concept, process, model, or theory in a specified context.PSO-4.C: Describe the concepts of political power and territoriality as used by geographers.IMP-4.B: Explain the nature and function of international and internal boundaries.Learning outcomesStudents will learn examples of boundaries, borders, and barriers around the world that exhibit the organization of the earth’s surface as identified through political geography.

WMS of the latest available version of the monochrome 1:250,000 physical-political map - Emilia-Romagna Region

Identify major boundaries, borders, and barriers around the world. The GeoInquiry activity is available here.Educational standards addressed:APHG: IV.B2. Evaluate the nature & function of boundaries including types. APHG: IV.B1. Explain the concepts of political power and territoriality.This map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

This coverage was identified on the USGS Water Resources NSDI Node site at https://nsdi.usgs.gov. The coverage contains the county boundaries of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:100,000 scale map in the National Atlas of the United States. The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile.This shapefile is used as a base map for a variety of applications.Metadata was updated 10/1/2009 when data became available through this archive, and again on 2/8/2011 to add a DOI to citation. Data were not altered. Minor metadata updates made on 4/18/2013, 12/20/2016, and 09/09/2021.

Data were originally made available at https://www.srs.fs.usda.gov/sustain/data/.

Derek H. Alderman, Joshua F.J. Inwood, Ethan BottoneThe mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle,Geoforum,Volume 120,2021,Pages 67-78,ISSN 0016-7185,https://doi.org/10.1016/j.geoforum.2021.01.022.(https://www.sciencedirect.com/science/article/pii/S0016718521000300)Abstract: Responding to recent work in critical cartographic studies and Black Geographies, the purpose of this paper is to offer a conceptual framework and a set of evocative cartographic engagements that can inform geography as it recovers the seldom discussed history of counter-mapping within the African American Freedom Struggle. Black resistant cartographies stretch what constitutes a map, the political work performed by maps, and the practices, spaces, and political-affective dimensions of mapping. We offer an extended illustration of the conventional and unconventional mapping behind USA anti-lynching campaigns of the late 19th and early 20th centuries, highlighting the knowledge production practices of the NAACP and the Tuskegee Institute’s Monroe Work, and the embodied counter-mapping of journalist/activist Ida B. Wells. Recognizing that civil rights struggles are long, always unfolding, and relationally tied over time and space, we link this look from the past to contemporary, ongoing resistant cartographical practices as scholars/activists continue to challenge racialized violence and advance transitional justice, including the noted memory-work of the Equal Justice Initiative. An understanding of African American traditions of counter-mapping is about more than simply inserting the Black experience into our dominant ideas about cartography or even resistant mapping. Black geographies has much to teach cartography and geographers about what people of color engaged in antiracist struggles define as geographic knowledge and mapping practices on their own terms—hopefully provoking a broader and more inclusive definition of the discipline itself.Keywords: African American; Anti-lynching; Black geographies; Civil rights; Counter-mapping; Critical cartography

Multiscale WMS of the CTR representation derived from the DBTR, which allows the display of different layers according to the effective display scale. The service is made up of the following layers:- DBTR_CTR 1:5.000 full, up to display scale approximately 1:7.000- DBTR_CTR 1:10,000 light, up to approx. 1:17,000 display scale- DBTR_CTR 1:25,000 full, up to approx. 1:37,000 display scale- DBTR_CTR 1:50,000 full, up to approx. 1:87,000 display scale- CTR 1: 250.000 (Physical Political Map 1:250.000 monochrome ed.2021)

Evaluate migration at the global, regional, and local scales. The GeoInquiry activity is available here.Educational standards addressed:APHG: II.C. Explain how push and pull factors contribute to migration.APHG: II.C. Analyze the cultural, economic, environmental, and political conse- quences of migration.This map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

The Law of 14 November 1996 implementing the City Recovery Pact (PRV) distinguished three levels of intervention: sensitive urban areas, urban revitalisation zones (ZRUs), urban free zones (ZFU). These three levels of intervention ZUS, ZRU and ZFU, characterised by devices of increasing importance, were intended to respond to different degrees of difficulties encountered in those neighbourhoods. Since then, the Planning Law for City and Urban Cohesion of 21 February 2014 has laid down (Article 5) the modalities for the reform of the priority geography of city policy. Two decrees issued in 2014 (No 2014-767 of 3 July 2014 and No 2014-1575 of 22 December 2014) set out these arrangements for the metropolis and for the ultramarine territories respectively. Thus, the national list of priority neighbourhoods of the city policy (Decrees n°2014-1750 and n° 2014-1751 of 30 December 2014) was produced and the national mapping of their perimeters was published. These perimeters replace sensitive urban areas (SEZs) and urban social cohesion contract (CUCS) neighbourhoods as of 1 January 2015.

This dataset consists of cartographic data in digital line graph (DLG) form for the northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont). Information is presented on two planimetric base categories, political boundaries and administrative boundaries, each available in two formats: the topologically structured format and a simpler format optimized for graphic display. These DGL data can be used to plot base maps and for various kinds of spatial analysis. They may also be combined with other geographically referenced data to facilitate analysis, for example the Geographic Names Information System.

This dataset represents a compilation of data from various government agencies throughout the City of New York. The underlying geography is derived from the Tax Lot Polygon feature class that is part of the Department of Finance's Digital Tax Map (DTM). The tax lots have been clipped to the shoreline, as defined by NYCMap planimetric features. The attribute information is from the Department of City Planning's PLUTO data. The attribute data pertains to tax lot and building characteristics and geographic, political and administrative information for each tax lot in New York City.The Tax Lot Polygon feature class and PLUTO are derived from different sources. As a result, some PLUTO records do not have a corresponding tax lot in the Tax Lot polygon feature class at the time of release. These records are included in a separate non-geographic PLUTO Only table. There are a number of reasons why there can be a tax lot in PLUTO that does not match the DTM; the most common reason is that the various source files are maintained by different departments and divisions with varying update cycles and criteria for adding and removing records. The attribute definitions for the PLUTO Only table are the same as those for MapPLUTO. DCP Mapping Lots includes some features that are not on the tax maps. They have been added by DCP for cartographic purposes. They include street center 'malls', traffic islands and some built streets through parks. These features have very few associated attributes.To report problems, please open a GitHub issue or email DCPOpendata@planning.nyc.gov.DATES OF INPUT DATASETS:Department of City Planning - E-Designations: 2/5/2021Department of City Planning - Zoning Map Index: 7/31/2019Department of City Planning - NYC City Owned and Leased Properties: 11/15/2020Department of City Planning - NYC GIS Zoning Features: 2/5/2021Department of City Planning - Polictical and Administrative Districts: 11/17/2020Department of City Planning - Geosupport version 20D: 11/17/2020Department of Finance - Digital Tax Map: 1/30/2021Department of Finance - Mass Appraisal System (CAMA): 2/10/2021Department of Finance - Property Tax System (PTS): 2/6/2021Landmarks Preservation Commission - Historic Districts: 2/4/2021Landmarks Preservation Commission - Individual Landmarks: 2/4/2021Department of Information Telecommunications & Technology - Building Footprints: 2/10/2021Department of Parks and Recreation - GreenThumb Garden Info: 1/4/2021

This coverage was identified on the USGS Water Resources NSDI Node site at https://www.usgs.gov/ngpo/. The coverage contains the state boundaries of the southern region of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000 scale map in the National Atlas of the United States. The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile (please see Process Steps below).This shapefile is used as a base map for a variety of applications.Metadata was updated on 6/08/2011 when data became available through this archive. Minor metadata updates on 04/18/2013. Minor metadata updates on 12/06/2016.

Data were originally made available at //www.srs.fs.usda.gov/sustain/data/.

The Law of 14 November 1996 implementing the City Recovery Pact (PRV) distinguished three levels of intervention: sensitive urban areas, urban revitalisation zones (ZRUs), urban free zones (ZFU). These three levels of intervention ZUS, ZRU and ZFU, characterised by mechanisms of increasing importance, were intended to respond to different degrees of difficulties encountered in these neighbourhoods. Since then, the Planning Law for City and Urban Cohesion of 21 February 2014 laid down (Article 5) the modalities for the reform of the priority geography of city policy. Two decrees issued in 2014 (No 2014-767 of 3 July 2014 and No 2014-1575 of 22 December 2014) set out these arrangements for the metropolis and for the ultramarine territories respectively. Thus, the national list of priority neighbourhoods of the city policy (Decrees n°2014-1750 and n° 2014-1751 of 30 December 2014) was produced and the national mapping of their perimeters was published. These perimeters replace sensitive urban areas (SEZs) and urban social cohesion contract (CUCS) neighbourhoods as of 1 January 2015.

Author: D Schwarze, educator, Minnesota Alliance for Geographic EducationGrade/Audience: high schoolResource type: lessonSubject topic(s): gis, urban geographyRegion: united statesStandards: Minnesota Social Studies Standards

Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

Standard 2. Geographic Inquiry is a process in which people ask geographic questions and gather, organize and analyze information to solve problems and plan for the future.

Standard 3. Places have physical characteristics (such as climate, topography and vegetation) and human characteristics (such as culture, population, political and economic systems).

Standard 6. Geographic factors influence the distribution, functions, growth and patterns of cities and human settlements.Objectives: Students will be able to:

1. Use ArcGIS to analyze data.
2. Use maps as primary documents.
3. Analyze how Saint Paul has changed from 1908 to 2014.
4. Express several major changes that Saint Paul has undergone in the past 100 years.
5. Evaluate the best location for a new high school in Saint Paul.Summary: Students will use ArcGIS software to explore Saint Paul in 1908 and today by looking at their own neighborhoods and several landmarks. The “Saint Paul—Then and Now” ArcGIS map has a layer of a 1908 plat map of Saint Paul, overlaid on a 2014 street map of Saint Paul. Using ArcGIS Online, students will investigate the changes that have occurred to Saint Paul. Finally, students will predict where a new high school should be built in fifty years using the “Saint Paul Public Schools Area” ArcGIS map, which has numerous layers. As an extension, students could write a letter describing what has changed in Saint Paul from 2014 to the year 2064.

2010 Census Tracts for Redistricting: 2010 extracts containing geographic and cartographic information from the Census Bureau's MAF/TIGER (Master Address File/Topologically Integrated Geographic Encoding and Referencing) database. These files support the 2010 Census Redistricting Data (P. L. 94-171) release. The files provide the digital map base for a Geographic Information System or mapping software. All legal boundaries and names are as of January 1, 2010. The boundaries shown are for Census Bureau statistical data collection and tabulation purposes only. The attribute file are to be used for redistricting purposes only as it requires adjusting Census Public Law 94-171 data based on relocation of the Maryland incarcerated individuals at their last place of residence before incarcerated. This adjusted and updated data will only be used for Redistricting purpose in Maryland.Census tabulation blocks —the smallest of all the geographical areas and the building blocks for all other geographic areas. Census tabulation blocks nest within all other types of geography and follow physical features whenever possible. These areas are regenerated during each decennial census.Source: US Census Bureau, Maryland Department of Planning, Anne Arundel County OPZ GIS/Research Division Item Updated: 11-14-2019 12:57 PM

This coverage was identified on the USGS Water Resources NSDI Node site at https://nsdi.usgs.gov. The coverage contains the County boundaries of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000 scale map in the National Atlas of the United States.

The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile.This shapefile is used as a base map for a variety of applications.Metadata was updated 10/6/2009 when data became available through this archive, and again on 2/8/2011 to add a DOI to citation. Data were not altered. Minor metadata updates made on 4/18/2013.

Data were originally made available at https://www.srs.fs.usda.gov/sustain/data/.

Minor metadata updates on 12/20/2016.

The map title is Soil Types. Map scale. North arrow pointing to the north. Map projection is Hammer-Aitoff. Border of Canada. Great Lakes Border for each theme category within Canada. Neat line around the map. Each theme category is identified by a number that corresponds to the legend. Legend is divided into four categories: Tundra soils, Wet-climate soils, Dry-climate soils, Complex soils of mountain areas. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.