Table contains count and percentage of households that met the definition of limited English speaking households. A "limited English speaking household" is one in which no member 14 years old and over (1) speaks only English or (2) speaks a non-English language and speaks English "very well." Data are presented at county, city, zip code and census tract level. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table S1602; data accessed on August 23, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographytotal_HH (Numeric): Total householdslimit_Eng_HH (Numeric): Number of limited English speaking householdspct_limit_Eng_HH (Numeric): Percent of limited English speaking households

The dictionary includes about 1650 terms and concepts (in Armenian, Russian and English) used in forest and landscaping sectors with a brief explanation in Armenian.Citation:J.H. Vardanyan, H.T. Sayadyan, Armenian-Russian-English Dictionary of Forest Terminology, Publishing House of the Institute of Botany of NAS RA, Yerevan, 2008.

Urban fabrics for the Helsinki region 2016, 2030 and 2050 GIS dataset represents modelled urban fabric areas (walking, transit, and automobile urban fabrics) in the Helsinki city region (14 municipalities) in Finland. The data is associated with the regional MAL 2019 (land use, housing, and transport) work and was developed at the Finnish Environment Institute (Syke). The method used to produce the data has also been applied to other city regions in Finland (Helminen et al., 2020) and is an application of Newman et al.'s (2016) theory of three urban fabrics. The method is based on the overlay analysis of three variables: population and job density, accessibility to local services, and public transportation supply, with threshold values set for each variable. The definition of threshold values is based on previous applications of urban fabrics (Ristimäki et al., 2017) and a workshop conducted for urban planning and transportation professionals in the Helsinki metropolitan area. All accessibility measures used in creating the data were calculated as Euclidean distances.

The data was created using ArcMap Advanced software (version 10.6) and includes shapefiles for each modeling year's urban structures (UF_2016, UF_2030, and UF_2050) as well as description styles (UF_Fi.qml and UF_En.qml) in Finnish and English for the QGIS software. The names of the structures are in the fields 'Kudos' (in Finnish) and 'UrbFab' (in English). The coordinate system of the data is EPSG:3067. Detailed descriptions of the data and the method can be found in the report 'Helsingin seudun kaupunkikudokset 2016, 2030 a 2050' (Tiitu et al., 2018, in Finnish) and in the downloadable ReadMe files below (both in Finnish and English).

Helsingin seudun kaupunkikudokset 2016, 2030 ja 2050 -paikkatietoaineisto

Helsingin seudun kaupunkikudokset 2016, 2030 ja 2050 -paikkatietoaineisto kuvaa mallinnettuja kaupunkikudosten alueita (jalankulku-, joukkoliikenne- ja autokaupunki) Helsingin seudun (14 kuntaa) alueelta Suomesta. Aineisto liittyy seudun MAL 2019 -työhön, ja se on kehitetty Suomen ympäristökeskuksessa (Syke). Menetelmää, jolla aineisto on tuotettu, on sovellettu myös muille Suomen kaupunkiseuduille (Helminen ym. 2020), ja se on sovellutus Newmanin ym. (2016) kolmen kaupunkikudoksen teoriasta. Menetelmä perustuu päällekkäisanalyysiin kolmesta muuttujasta: asukas- ja työpaikkatiheys, lähikaupan saavutettavuus ja joukkoliikenteen tarjonta, sekä muuttujille asetettuihin kynnysarvoihin. Kynnysarvojen määrittely perustui kaupunkikudosten aiempiin sovellutuksiin (Ristimäki ym. 2017) sekä Helsingin seudun maankäytön ja liikenteen suunnittelijoille suunnattuun työpajaan. Kaikki aineiston muodostamiseen käytetyt saavutettavuudet on laskettu linnuntie-etäisyyksinä.

Aineisto on muodostettu ArcMap Advanced -ohjelmistolla (versio 10.6.) ja se sisältää shp-tiedostot kunkin mallinnusvuoden kaupunkikudoksille (UF_2016, UF_2030 ja UF_2050) sekä kuvaustekniikan (UF_Fi.qml ja UF_En.qml) suomeksi ja englanniksi QGIS-ohjelmistolle. Kudosten nimet ovat sarakkeissa Kudos (suomeksi) ja UrbFab (englanniksi). Aineiston koordinaattijärjestelmä on EPSG:3067. Aineiston ja menetelmän tarkka kuvaus on luettavissa raportista Helsingin seudun kaupunkikudokset 2016, 2030 ja 2050 (Tiitu ym. 2018) sekä alla ladattavista ReadMe-tiedostoista.

References

Helminen V., Tiitu M., Kosonen, L. & Ristimäki, M. (2020). Identifying the areas of walking, transit and automobile urban fabrics in Finnish intermediate cities. Transportation Research Interdisciplinary Perspectives 8, 100257. https://doi.org/10.1016/j.trip.2020.100257

Newman, L. Kosonen & J. Kenworthy (2016). Theory of urban fabrics; planning the walking, transit/public transport and automobile/motor car cities for reduced car dependency. Town planning Review 87 (4): 429–458. http://hdl.handle.net/20.500.11937/11247

Ristimäki M., Tiitu M., Helminen V., Nieminen H., Rosengren K., Vihanninjoki V., Rehunen A., Strandell A., Kotilainen A., Kosonen L., Kalenoja H., Nieminen J., Niskanen S. & Söderström P. (2017). Yhdyskuntarakenteen tulevaisuus kaupunkiseuduilla – Kaupunkikudokset ja vyöhykkeet. Suomen ympäristökeskuksen raportteja 4/2017. Suomen ympäristökeskus, Helsinki. http://hdl.handle.net/10138/176782

Tiitu M., Helminen V., Nurmio K. & Ristimäki M. (2018). Helsingin seudun kaupunkikudokset 2016, 2030 ja 2050. MAL 2019 publication. https://www.hsl.fi/sites/default/files/uploads/helsingin_seudun_kaupunkikudokset_loppuraportti_27082018_0.pdf

License / Lisenssi

Syke applies Creative Commons By 4.0 International license for open datasets.
This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. The source references for credits can be found in the metadata of each data product.

Suomen ympäristökeskuksen (Syke) avointen aineistojen käyttölupa on Creative Commons Nimeä 4.0 Kansainvälinen.
Lisenssin kohteena olevaa dataa voi vapaasti käyttää kaikin mahdollisin tavoin edellyttäen, että datan lähde mainitaan: Lisenssinantajan nimi ja aineiston nimi.

Credits / Lähdemerkintä

Urban Fabrics for the Helsinki Region / Source: Finnish Environment Institute Syke 2018.
Where applicable, please also cite the references listed above.

Helsingin seudun kaupunkikudokset / Lähde: Syke 2018.
Viittaa myös soveltuvin osin yllä listattuihin lähteisiin, jos hyödynnät näitä aineistoja esimerkiksi raporteissa tai tutkimusartikkeleissa.

🇺🇸 미국 English This dataset shows the point locations of dams in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Energy Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: 2003 Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

The Coastal Overview data layers identifies the lead authority for the management of discrete stretches of the English coast as defined by the Seaward of the Schedule 4 boundary of the Coastal Protection Act 1949. The data are intended as a reference for GIS users and Coastal Engineers with GIS capability to identify the responsible authority or whether the coast is privately owned. The information has been assigned from the following sources, listed in by preference: Shoreline Management Plans 1; Environment Agency’s RACE database; Consultation with Coastal Business User Group and Local Authority Maritime records where possible. A confidence rating is attributed based on where the data has been attributed from and the entry derived from the source data. The following data is intended as a reference document for GIS users and Coastal Engineers with GIS capability to identify the responsible authority and the assigned EA Coastal Engineer so as to effectively manage the coast for erosion and flooding. The product comprises 3 GIS layers that are based on the OS MasterMap Mean High Watermark and consists of the following data layers that are intended to be displayed as with the confidence factor that the information is correct. Coastal Overview Map [Polyline] –details the Lead Authority, EA Contact and other overview information for coast sections; Coastal Overview Map [Point] – shows the start point of the discrete stretch of coast and the lead authority; and Coastal Legislative Layer [Polyline] - represents the predominant risk; flooding or erosion, which are assigned to each section of the coastline. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.Contains Ordnance Survey data © Crown copyright and database rights

🇺🇸 미국 English This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward boundaries and was updated as the result of reapportionment in September 2002. It has also been attributed with the current representatives' names. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: 2002-present Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

🇺🇸 미국 English If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: current Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

🇺🇸 미국 English This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the attribute table includes additional descriptive information including Councils of Government (COG) affiliation (regional governing and coordinating bodies comprised of several bordering municipalities), School District, Congressional District, FIPS and County Municipal Code and County Council District. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: current Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

A vector dataset containing bus stops, routes, and topology for 299 cities in China was generated and stored in Shapefile format. The dataset in mainland China (data for Taiwan Province is not available) is up to April 2024.

The original language of this dataset is Chinese, and we have used the Microsoft Translation API to uniformly translate the Chinese content into English.

For each city, the dataset contains two types of data: bus stops and bus routes (distinguishing direction, with one being undirected and the other being directed). The topological network dataset consists of nodes and edges, with the edges being undirected.

This dataset comprises land use maps of Maputo city, with exception of the KaTembe urban district, for the years 1964, 1973, 1982, 1991 and 2001. It is the digital version of the land use maps published by Henriques [1] and revised under the LUCO research project.

The land use of Maputo city was identified from: i) aerial photographs (1964, 1982, 1991), orthophoto maps (1973) and IKONOS images (2001); ii) documentary sources, such as the Urbanization Master Plan (1969) and the Maputo City Addressing (1997); iii) the recognition made during several field survey campaigns. The methodology is described in Henriques [1].

Land use was classified into three levels, resulting from a hierarchical classification system, including descriptive and parametric classes. Levels I and II are available in this repository.

Level I, composed by 10 classes, contains the main forms of occupation: built-up areas (residential, economic activity, equipment, and infrastructure) and non-built-up areas (vacant or "natural"). It is geared towards analyses that serve policymaking and resource management at the regional or national scale [1].

Level II, composed by 31 classes, discriminates the higher hierarchical level according to its functional land use to become useful for municipal planning and management in municipal master plans, for example [1].

Maps are available in shapefile format and include predefined symbology-legend files, for QGIS and ArcGIS (v.10.7 or higher). The urban land use classes are described in Portuguese and English, and their meaning is provided as an accompanying document (ULU_Maputo_Nomenclatura_PT.pdf / ULU_Maputo_Nomenclature_EN.pdf).

Data format: vector (shapefile, polygon)

Reference system: WGS84, UTM 36S (EPSG:32736)

Original minimum mapping unit: 25 m2

Urban Land Use dataset attributes:

[N_I_C] – code of level I

[N_I_D_PT] – name of level I, in Portuguese

[N_I_D_EN] - name of level I, in English

[N_II_C] – code of level II

[N_II_D_PT] - name of level II, in Portuguese

[N_II_D_EN] - name of level II, in English

Funding: this research was supported by national funds through FCT – Fundação para a Ciência e Tecnologia, I.P. Project number: FCT AGA-KHAN/ 541731809 / 2019

[1] Henriques, C.D. (2008). Maputo. Cinco décadas de mudança territorial. O uso do solo observado por tecnologias de informação geográfica [Maputo. Five decades of territorial transformation. Land use assessed by geographical information technologies]. Lisboa, Instituto Português de Apoio ao Desenvolvimento (ISBN: 978-972-8975-22-7).

Snow, glaciers and permafrost in cold mountain areas such as the Swiss Alps are especially sensitive to changes in environmental conditions due to their proximity to melting conditions. In addition, mass wasting is most intensive in those mountain areas with high relief energy. Environmental changes in high mountain regions substantially influence the potential for glacial and periglacial hazards. Ice- and moraine-dammed lakes represent a widespread hazard potential closely related to glacier fluctuations. Magnitude and frequency of ice avalanches from steep glaciers - in principle a normal expression of mass exchange under such topographic conditions - are coupled with stability conditions affected by glacier advance/retreat and, hence, with long-term atmospheric impacts. Steep and unstable reservoirs of loose debris, a potential source of debris flows, are often the result of glacier shrinkage. In a similar way, changes in the stress regime due to vanishing glaciers lead to potential destabilization of adjacent valley flanks.

 Since the Alps are among the most densely populated high mountain areas in the
 world, Switzerland is particularly impacted by glacial and periglacial hazards
 but, on the other hand, also has an extensive and well-recognized tradition in
 investigating such processes. A number of specific monitoring and modeling
 studies related to single hazardous situations have been performed, mainly
 based on recent catastrophes or imminent hazard situations. An urgent need
 exists for area-wide modeling of glacier hazard potentials with a view to
 establishing an integrated and adequate information base for planning and
 detailed monitoring, but a corresponding systematic approach is, for the
 present, still lacking.

 The proposed project aims at closing this gap in several ways: Work Package
 (WP) (1): By developing techniques for detection of glacier hazard potentials
 based on optical spaceborne remote sensing data which rarely has been used to
 date in Swiss glacier monitoring; multispectral analyses and multitemporal and
 multiscale fusion will play a major role in this, with a special focus on
 recent or upcoming high resolution sensors. WP (2): By integrating empirical
 models for glacier hazard assessment into geographical information systems
 (GIS) which have proven to be successful for hazard simulation but have not
 been used yet for determining glacier hazard potentials; GIS modeling
 especially allows for the fusion of remote sensing and elevation data for
 spatial (3D) analyses. To ensure high synergy, WPs (1) and (2) will be closely
 related to the ongoing SNF project "The Swiss Glacier Inventory 2000" (SWI
 2000) (no. 21-54073.98) and the international project "Global Land Ice
 Monitoring from Space" (GLIMS). WP (3): By applying the methods from WPs (1)
 and (2), an initial attempt will be undertaken to implement an area-wide model
 for integrating glacier hazard potentials of extensive regions in the Swiss
 Alps following a downscaling strategy with varying resolution and accuracy
 levels, both with respect to data and to models. As hazard management in
 Switzerland is the domain of local and regional authorities, the proposed
 project does not aim at preparing detailed local hazard maps (Gefahrenkarten),
 but rather will provide new remote sensing and modeling techniques for
 decision support. It should demonstrate the usefulness of these techniques for
 overview mapping (Gefahrenhinweiskarten) as a basis for decision-making and for
 scenario simulations in connection with climate change effects. The efforts
 made in this project will contribute to handle economically complex
 mathematical and physical models and represent a decision basis for the
 specific need of further detailed case studies. A further outcome will be a
 documentation of historical glacier catastrophes in the Swiss Alps, which will
 - among others - be used for model calibration and verification.

 [Summary provided by Christian Huggel, University of Zurich.]

ORDINANCE NO. 6364AN ORDINANCE OF THE BOARD OF SUPERVISORS OF THE COUNTY OF SONOMA, STATE OF CALIFORNIA, ADOPTING REVISED SUPERVISORIAL DISTRICT BOUNDARIES FOR ALL OF THE SUPERVISORIAL DISTRICTS OF THE COUNTY, REPEALING SONOMA COUNTY CODE SECTION 1-8, AND DIRECTING COUNTY STAFF TO MAINTAIN FOR AT LEAST TEN YEARS THE COUNTY'S REDISTRICTING WEBSITE TO CONTINUE TO INFORM THE PUBLIC ABOUT THE REDISTRICTING PROCESS AND THE REVISED BOUNDARIES.The Board of Supervisors of the County of Sonoma, State of California, ordains as follows:Section I. Public Participation. The Sonoma County Board of Supervisors has taken steps above and beyond the requirements of Elections Code Section 21508 to engage the community and invite public participation in the supervisorial boundary redistricting process. The Board has encouraged residents, including those in underrepresented communities and non-English speaking communities, to participate in the redistricting public review process. These steps have included all of the following:Provided information to media organizations that provide county news coverage, including media organizations that serve language minority communities.Provided information through good government, civil rights, civic engagement, and community groups or organizations that are active in the county, including those active in language minority communities, and those that have requested to be notified concerning county redistricting.Arranged for live translation in Spanish at redistricting public hearings and workshops.The County retained a public outreach and local engagement consultant who performed 34 Community Engagement Opportunities (including 13 focus group sessions; 16 group or radio presentations; 3 Town Halls; 2 map drawing parties).On February 23, 2021, the Board established the Sonoma County Advisory Redistricting Commission (ARC) to advise and assist the Board with redrawing supervisorial district boundaries. The ARC had 19 members, comprised of two appointees per district and nine at-large members.On June 28, 2021, the ARC held its first public meeting to learn about redistricting and listen to public comment.On July 26, 2021, the ARC held another public meeting to continue to discuss the redistricting process and listen to public input.On August 23, 2021, the ARC held a public hearing to discuss redistricting, receive public input about communities of interest, and learn about mapping tools.On September l, 2021, the ARC held a meeting to consider the redistricting process, receive map-drawing training and listen to public feedback.On September 13, 2021, the ARC held a meeting to discuss equity.On September 15, 2021, the County held a Town Hall meeting to review the redistricting process and how the public can provide input.On October 5, 2021, the Sonoma County Board of Supervisors held a public hearing to review the new census data and discuss the redistricting process.On October 18, 2021, the ARC held a duly noticed public meeting to consider draft supervisorial district maps.On October 18, 2021, the ARC held a duly noticed public meeting to consider draft supervisorial district maps.On October 22, 2021, the ARC held a duly noticed public meeting to discuss the draft maps and listen to public feedback.On October 25, 2021, the ARC held a duly noticed public meeting to discuss the draft maps, listen to public feedback and vote on a proposed supervisorial district map to present to the Board of Supervisors. The ARC recommended the Board continue to listen to public feedback and update the map to respond to continued community input and comply with federal and state laws.On November 2, 2021, the Board held a public hearing to consider the ARC's proposed map and recommendations.On November 16, 2021, the Board held a public hearing to consider proposed maps and continue to listen to public feedback.On November 22, 2021, County staff held a Town Hall meeting focused on the City of Rohnert Park's comments and to gather public input;On November 29, 2021, the Board held a public workshop to consider a proposed map and continue to listen to public input.On December 7, 2()21, the Board held a final public hearing to introduce, waive reading and consider adoption of an ordinance to adopt a new supervisorial district map.Section Il. Information Gathered. The Board has considered the 2020 federal census data, the ARC's recommendations, in addition to all of the other community input through the ARC process, as well as the Board's own public hearings, the public workshop and additional public comments. Additionally, the Board also retained a demographer, National Demographics Corporation, to analyze the population and demographic data. Since the release of the 2020 federal census data, the ARC and the Board have considered numerous variations of the supervisorial district boundaries to ensure the final version of the map satisfies the criteria of federal and state law. Based on that information and community input, the Board has developed the final revised County of Sonoma supervisorial district boundaries as specified and set forth in the map attached to this ordinance as Attachment A ("Revised Sonoma County Supervisorial District Boundaries").Section Ill. Findings. Based on the information gathered as set forth above, the Board makes the following findings:The Revised Sonoma County Supervisorial District Boundaries are based on the total population of residents of the county as determined by the 2020 federal decennial census;The Revised Sonoma County Supervisorial District Boundaries comply with the United States Constitution, the California Constitution, and the federal Voting Rights Act of 1965 (52 U.S.C. Section 10301 et seq.);The Revised Sonoma County Supervisorial District Boundaries comply with California Elections Code Section 21500 because those boundaries have been developed in accordance with these criteria as set forth in the following order of priority:To the extent practicable, the supervisorial districts are geographically contiguous;To the extent practicable, the geographic integrity of local neighborhoods and local communities of interest are respected in a manner that minimizes their division;To the extent practicable, the geographic integrity of a city or census designated place is respected in a manner that minimizes its division;The Revised Supervisorial District Boundaries are easily identifiable and understandable by residents and to the extent practicable are bounded by natural and artificial barriers, by streets, or by the boundaries of the county;To the extent practicable, and where it does not conflict with the preceding criteria above, the Revised Supervisorial District Boundaries are geographically compact; andThe Revised Supervisorial District Boundaries have not been developed for the purpose of favoring or discriminating against a political party.Communities of Interest. Based on public comment received during the Public Participation process set forth in Section I above, the Board has determined that the following are communities of interest as defined in Elections Code Section 21500(c)(2) because these are populations that share common social or economic interests that should be included within a single supervisorial district for purposes of effective and fair representation:Roseland has recently been annexed to the City of Santa Rosa and shares socioeconomic characteristics with Moorland; both areas represent a community of interest that should be included within a single supervisorial district that includes portions of the downtown area of Santa Rosa for purposes of effective and fair representation;Coastal communities share common interests and should remain within one supervisorial district for the purposes of effective and fair representation;Russian River communities share common social and economic interests and should remain within one supervisorial district for purposes of effective and fair representation;Coffey Park-Larkfield-Mark West-Wikiup community shares common interests and should remain within one supervisorial district for purposes of effective and fair representation;The Springs area (Eldridge, Fetters Hot Springs, Agua Caliente, Boyes Hot Springs) share common interests and should remain within one supervisorial district for purposes of effective and fair representation; andThe community within the Bennett Valley Area Plan, approved by the Sonoma County Board of Supervisors in Resolution No. 11-0461, on September 30, 2011, share common interests and should remain within one supervisorial district for purposes of effective and fair representation.Section IV. Adoption Procedures. California Elections Code Section 21500(e) allows the County to adopt supervisorial district boundaries by resolution or ordinance and clarifies that revised supervisorial district boundary adoption occurs on the date of passage of such ordinance or resolution. The Revised Sonoma County Supervisorial District Boundaries attached hereto as Attachment A have been posted on the County'sRedistricting website at https://sonomacounty.ca.gov/CAO/Policy-Grants-and-SpeciaIProjects/2021-Redistricting/for at least seven days prior to final adoption in compliance with Elections Code SectionSection V. Adoption of Revised Sonoma County Supervisorial District Boundaries. Based on the above findings and adoption procedures, the Board hereby determines that the Revised Sonoma County Supervisorial District Boundaries comply with all federal and state laws. Accordingly, the Board hereby adopts the Revised Sonoma County Supervisorial District Boundaries.Section VI. Posting on County's Redistricting Website. In compliance with Elections Code Section 21508(g), the Board directs County staff to maintain the County of Sonoma's Redistricting website at https://sonomacounty.ca.gov/CAO/Policy-Grants-and-Special-Projects/2021-Redistrictingfor at least 10 years after the adoption of new supervisorial district

The Ontario GeoHub Item Report contains details on the items present in Ontario GeoHub and CarrefourGéo Ontario. The report can be filtered using the "date of last data update" to find recently updated items. See below for a list of the fields and descriptions.

Status

On going: data is being continually updated

Maintenance and Update Frequency

Daily: data is updated each day

Contact

Land Information Ontario Support, lio@ontario.ca

Data Dictionary

    dataset_id - Identifier assigned to the item by ArcGIS Hub. For items based on a feature service this is a combination of the ArcGIS Online id and the layer number of the feature layer in the associated service. Format [agol_id]_[layer number].

    item_id - ArcGIS Online identifier associated with the item

    slug - Easy-to-read identifier for the dataset used in URLs

    url_dataset_id - Complete URL to the item using the dataset_id

    url_slug - Complete URL to the item using the slug

    item_tile - Item title

    snippet - Short description of the item

    item_type - ArcGIS Hub item type

    site - The site that the item resides in. Possible values: 'Ontario GeoHub' or 'CarrefourGéo Ontario'

    metadata_lang - Language of the metadata based on mdLang tag in metadata record

    detected_lang - Language of the metadata based on detection of the title and description using Google Translate libraries

    tags - ArcGIS Online tags associated with the item

    grp_name - Name of the Open Data Group through which this item was shared to ArcGIS Hub

    grp_id - Identifier of the Open Data Group through which this item was shared to ArcGIS Hub

    grp_owner - Name of the ArcGIS Online organization that owns the Open Data Group

    dataset_id_eng - The dataset_id of the related English record in Ontario GeoHub. Only applies to records where site = 'CarrefourGéo Ontario'

    dataset_id_fre - The dataset_id of the the related French record in CarrefourGeo Ontario. Only applied to records where site = 'Ontario GeoHub'
  item_id_eng - The item_id of the related English record in Ontario GeoHub. Only applies to records where site = 'CarrefourGéo Ontario'
  item_id_fre - The item_id of the the related French record in CarrefourGeo Ontario. Only applied to records where site = 'Ontario GeoHub'

    legacy_id - Identifier of the source record in the legacy Metadata Management Tool, where applicable

    ccsn - LIO Concrete Class Short Name associated with the item, where applicable

    agol_owner - Username of the ArcGIS Online user that owns the item

    agol_org - Name of the ArcGIS Organization to which the item belongs

    publisher - Item "source" organization as displayed in Hub search results

    publisher_src - Location from which Hub pulled the value of publisher

    data_url - The data url associated with the item

    fgdb_link - Link to the LIO-generated file geodatabase download package associated with the item, where applicable

    shp_link - Link to the LIO-generated shapefile download package associated with the item, where applicable

    created_dt - Item creation date

    modified_dt - Item modified date

    dl_package_dt - Esri download creation date

    dl_lastrety_dt - Date of last attempt to generate Esri download

    data_currency_dt - Date of last data update

    data_currency_dt_src - Source from which data_currency_dt was retrieved

    metadata_present - Indicates whether an ISO-19115 NAP metadata record exists for this item

    metadata_url - Direct URL to the unformatted XML metadata for the item

Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Edinburg Township Forest Map

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

This data layer contains forest polygons with information on cover type, volume, and crown closure for both the forest overstory and understory for the Township of Edinburg located in Penobscot County, Maine. The map was digitized, projected and differentially corrected using Global Positioning System points. Forest types were determined by delineation from color infrared photographs.

Note that the USGS records show that the orthophotoquads from which the data were digitized are in the Transverse Mercator projection. The printed map grid on both Howland and Edinburg maps is in the Universal Transverse Mercator projection. So, although the Edinburg map states that base map and control are from a Polyconic projection, (the Howland does not mention projection) the original base maps were assumed to be in the Transverse Mercator.

Information about the FED project and other datasets can be found at the FED Home Page: "https://forest.gsfc.nasa.gov/".

🇺🇸 미국 English This data set contains a Atlantic OCS Region scale spatial footprint of the outer boundaries of the Bureau of Ocean Energy Management’s (BOEM’s) Official Protraction Diagrams (OPDs). These polygons are clipped to the Submerged Land Act Boundary and Continental Shelf Boundaries. It is updated as needed. OPDs are mapping products produced and used by the BOEM to delineate areas available for potential offshore mineral leases, determine the State/Federal offshore boundaries, and determine the limits of revenue sharing and other boundaries to be considered when leasing offshore waters. The OPDs serve as the legal definition for BOEM offshore boundary coordinates and area descriptions. This dataset shows only the outline of the maps that are available from BOEM. Only the most recently published paper or pdf versions of the OPDs should be used for official or legal purposes. Further information on the history of the development of OPDs can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf.This data was created in the applicable NAD83 UTM Projection and re-projected to WGS84 Geographic. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are NOT an OFFICIAL record for the exact boundaries. These files are to be used for Cartographic purposes only. This data should not be used to calculate area.

🇺🇸 미국 English This data set contains a Gulf of Mexico OCS Region NAD27 scale spatial footprint of the outer boundaries of the Bureau of Ocean Energy Management’s (BOEM’s) Official Protraction Diagrams (OPDs) and Leasing Maps (LMs). These polygons are clipped to the Submerged Land Act Boundary and Continental Shelf Boundaries. It is updated as needed. OPDs are mapping products produced and used by the BOEM to delineate areas available for potential offshore mineral leases, determine the State/Federal offshore boundaries, and determine the limits of revenue sharing and other boundaries to be considered when leasing offshore waters. The OPDs serve as the legal definition for BOEM offshore boundary coordinates and area descriptions. This dataset shows only the outline of the maps that are available from BOEM. Only the most recently published paper or pdf versions of the OPDs should be used for official or legal purposes. Further information on the history of the development of OPDs can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf.This data was created in the applicable NAD27 UTM/SPCS Projection and re-projected to NAD27 Geographic. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are NOT an OFFICIAL record for the exact boundaries. These files are to be used for Cartographic purposes only. This data should not be used to calculate area.

The objective of the priority habitat map in England is to:• help organisations protect the most natural remaining examples of rivers from further impacts on natural processes, and • highlight any aspects of habitat integrity (hydrological, chemical, physical, biological) that could most usefully be improved. The priority river habitat map that has been produced is an English interpretation of the UK definition of priority river habitat, focusing on naturalness as the principal criterion in recognition of the vital importance of natural processes in delivering sustainable riverine habitats and supporting characteristic biodiversity.Full metadata can be viewed on data.gov.uk.

Spanish translation of the document created to address COVID-19 rumors in Jefferson County, AL.Submitted to Hub site by Helen Hayes, approved by Jim Coker (EMA) and Dr. Mark Wilson (JCDH).