CDFW BIOS GIS Dataset, Contact: Janet Brewster, Description: The main purpose of the Steelhead Report and Restoration Card program is to monitor, restore, and enhance California's steelhead resources. The Department meets its monitoring requirement by analyzing angling data submitted by anglers from each location code. Revenue generated from report card sales is dedicated to statewide steelhead-centric restoration benefiting both the species and angler.

This vector line dataset represents the river center line that are eligible, eligible and suitable, and eligible and not suitable for designation as a National Wild and Scenic River within the contiguous United States, Alaska, Hawaii, and Puerto Rico.The data was designed for mapping and analysis. This should be used as a companion to the LSRS data.

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

Locations of EV charging stations with DC fast charging capabilities that meet NEVI requirements (as of October 2023).A data dictionary is available at https://afdc.energy.gov/data_download/alt_fuel_stations_format.

The interactive GIS mapping tool provides the estimated geographic extent of each existing flow requirement represented by a polygon layer. Clicking on a polygon will open a pop-up window that provides an overview of the flow requirement for the applicable stream reach. More detail on an existing instream flow requirement is also available by clicking on the link to the source document within the same pop-up window. Stakeholders can request the State Water Board update the existing flow requirements in the mapping tool to modify the flow requirement conditions, as applicable; clarify the geographic scope of the flow requirement; or add any existing flow requirements that are not identified. If you have any comments, corrections, or additional information to provide, you are encouraged to contact the State Water Board via email at WRCannabis@waterboards.ca.gov.

Climate data and geographic data from Madagascar for learning multi-criteria analysis in GIS courses.

Abstract The recovery of degraded areas is imperative for the sustainability of mining activities. The main action implemented to improve the chemical, physical and biological conditions of soils, tailings and sterile deposits is the incorporation of organic material. Biosolids (hygienized sewage sludge) are among the organic materials that can be applied. However, considering the health risk they represent, not all areas are suitable for receiving this waste. The present research sought to map the environmental suitability of the Quadrilátero Ferrífero (QF) region to assess the applicability of biosolids. For this purpose, maps were elaborated using restrictive criteria established for the safe application of this residue to the soil by means of the Geographic Information System (GIS), using the ArcGIS software, version 10.2. The established criteria were pedology, topography, hydromorphism, presence of protected areas, soil texture, susceptibility to erosion, proximity to urban areas and their overlaps to obtain the final suitability areas. For the exclusion of areas that presented legal restrictions, the criteria of protected area, areas close to water bodies, urban areas, shallow soils and a slope greater than 45% were used, as established in literature, in CONAMA 498/2020 and in the Forest Law - Federal Law 12,652 of 2012. Of the areas analyzed, 58.5% were suitable for biosolid application, equivalent to 10,858.3 ha of the 18,587 ha studied, indicating the feasibility of biosolids application in part of the QF area to be recovered.

This map presents the full data available on the MLTSD GeoHub, and maps several of the key variables reflected by the Employment Services Program of ETD.Employment Services are a suite of services delivered to the public to help Ontarians find sustainable employment. The services are delivered by third-party service providers at service delivery sites (SDS) across Ontario on behalf of the Ministry of Labour, Training and Skills Development (MLTSD). The services are tailored to meet the individual needs of each client and can be provided one-on-one or in a group format. Employment Services fall into two broad categories: unassisted and assisted services.

Unassisted services include the following components:resources and information on all aspects of employment including detailed facts on the local labour marketresources on how to conduct a job search.assistance in registering for additional schoolinghelp with career planningreference to other Employment and government programs.

Unassisted services are available to all Ontarians without reference to eligibility criteria. These unassisted services can be delivered through structured orientation or information sessions (on or off site), e-learning sessions, or one-to-one sessions up to two days in duration. Employers can also use unassisted services to access information on post-employment opportunities and supports available for recruitment and workplace training.

The second category is assisted services, and it includes the following components:assistance with the job search (including individualized assistance in career goal setting, skills assessment, and interview preparation) job matching, placement and incentives (which match client skills and interested with employment opportunities, and include placement into employment, on-the-job training opportunities, and incentives to employers to hire ES clients), and job training/retention (which supports longer-term attachment to or advancement in the labour market or completion of training)For every assisted services client a service plan is maintained by the service provider, which gives details on the types of assisted services the client has accessed. To be eligible for assisted services, clients must be unemployed (defined as working less than twenty hours a week) and not participating in full-time education or training. Clients are also assessed on a number of suitability indicators covering economic, social and other barriers to employment, and service providers are to prioritize serving those clients with multiple suitability indicators.

About This Dataset

This dataset contains data on ES clients for each of the twenty-six Local Board (LB) areas in Ontario for the 2015/16 fiscal year, based on data provided to Local Boards and Local Employment Planning Councils (LEPC) in June 2016 (see below for details on Local Boards). This includes all assisted services clients whose service plan was closed in the 2015/16 fiscal year and all unassisted services clients who accessed unassisted services in the 2015/16 fiscal year. These clients have been distributed across Local Board areas based on the address of each client’s service delivery site, not the client’s home address. Note that clients who had multiple service plans close in the 2015/16 fiscal year (i.e. more than one distinct period during which the client was accessing assisted services) will be counted multiple times in this dataset (once for each closed service plan). Assisted services clients who also accessed unassisted services either before or after accessing assisted services would also be included in the count of unassisted clients (in addition to their assisted services data).

Demographic data on ES assisted services clients, including a client’s suitability indicators and barriers to employment, are collected by the service provider when a client registers for ES (i.e. at intake). Outcomes data on ES assisted services clients is collected through surveys at exit (i.e. when the client has completed accessing ES services and the client’s service plan is closed) and at three, six, and twelve months after exit. As demographic and outcomes data is only collected for assisted services clients, all fields in this dataset contain data only on assisted services clients except for the ‘Number of Clients – Unassisted R&I Clients’ field.

Note that ES is the gateway for other Employment Ontario programs and services; the majority of Second Career (SC) clients, some apprentices, and some Literacy and Basic Skills (LBS) clients have also accessed ES. It is standard procedure for SC, LBS and apprenticeship client and outcome data to be entered as ES data if the program is part of ES service plan. However, for this dataset, SC client and outcomes data has been separated from ES, which as a result lowers the client and outcome counts for ES.

About Local Boards

Local Boards are independent not-for-profit corporations sponsored by the Ministry of Labour, Training and Skills Development to improve the condition of the labour market in their specified region. These organizations are led by business and labour representatives, and include representation from constituencies including educators, trainers, women, Francophones, persons with disabilities, visible minorities, youth, Indigenous community members, and others. For the 2015/16 fiscal year there were twenty-six Local Boards, which collectively covered all of the province of Ontario.

The primary role of Local Boards is to help improve the conditions of their local labour market by:engaging communities in a locally-driven process to identify and respond to the key trends, opportunities and priorities that prevail in their local labour markets;facilitating a local planning process where community organizations and institutions agree to initiate and/or implement joint actions to address local labour market issues of common interest; creating opportunities for partnership development activities and projects that respond to more complex and/or pressing local labour market challenges; and organizing events and undertaking activities that promote the importance of education, training and skills upgrading to youth, parents, employers, employed and unemployed workers, and the public in general.

In December 2015, the government of Ontario launched an eighteen-month Local Employment Planning Council pilot program, which established LEPCs in eight regions in the province formerly covered by Local Boards. LEPCs expand on the activities of existing Local Boards, leveraging additional resources and a stronger, more integrated approach to local planning and workforce development to fund community-based projects that support innovative approaches to local labour market issues, provide more accurate and detailed labour market information, and develop detailed knowledge of local service delivery beyond Employment Ontario (EO).

Eight existing Local Boards were awarded LEPC contracts that were effective as of January 1st, 2016. As such, from January 1st, 2016 to March 31st, 2016, these eight Local Boards were simultaneously Local Employment Planning Councils. The eight Local Boards awarded contracts were:Durham Workforce Authority Peel-Halton Workforce Development GroupWorkforce Development Board - Peterborough, Kawartha Lakes, Northumberland, HaliburtonOttawa Integrated Local Labour Market PlanningFar Northeast Training BoardNorth Superior Workforce Planning Board Elgin Middlesex Oxford Workforce Planning & Development BoardWorkforce Windsor-Essex

MLTSD has provided Local Boards and LEPCs with demographic and outcome data for clients of Employment Ontario (EO) programs delivered by service providers across the province on an annual basis since June 2013. This was done to assist Local Boards in understanding local labour market conditions. These datasets may be used to facilitate and inform evidence-based discussions about local service issues – gaps, overlaps and under-served populations - with EO service providers and other organizations as appropriate to the local context.

Data on the following EO programs for the 2015/16 fiscal year was made available to Local Boards and LEPCs in June 2016:Employment Services (ES)Literacy and Basic Skills (LBS) Second Career (SC) Apprenticeship

This dataset contains the 2015/16 ES data that was sent to Local Boards and LEPCs. Datasets covering past fiscal years will be released in the future.

Notes and Definitions

NAICS – The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, the United States, and Mexico against the backdrop of the North American Free Trade Agreement. It is a comprehensive system that encompasses all economic activities in a hierarchical structure. At the highest level, it divides economic activity into twenty sectors, each of which has a unique two-digit identifier. These sectors are further divided into subsectors (three-digit codes), industry groups (four-digit codes), and industries (five-digit codes). This dataset uses two-digit NAICS codes from the 2007 edition to identify the sector of the economy an Employment Services client is employed in prior to and after participation in ES.

NOC – The National Organizational Classification (NOC) is an occupational classification system developed by Statistics Canada and Human Resources and Skills Development Canada to provide a standard lexicon to describe and group occupations in Canada primarily on the basis of the work being performed in the occupation. It is a comprehensive system that encompasses all occupations in Canada in a hierarchical structure. At the highest level are ten broad occupational categories, each of which has a unique one-digit identifier. These broad occupational categories are further divided into forty major groups (two-digit codes), 140 minor groups

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

Qualified opportunity zone designations for census tracts in Alaska as of June 14, 2018. Census tract designation as a QOZ is determined for purposes of §§ 1400Z–1 and 1400Z–2 of the Internal Revenue Code. These areas have been determined economically distressed. Under the designation, new investments in these areas may qualify for tax incentives. Opportunity Zones were initially created by the Tax Cuts and Jobs Act of December 22, 2017.Source: United States Internal Revenue ServiceThis data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: IRS Opportunity Zones FAQ

Iowa Broadband v5 Eligible locations. Serviceable locations with speeds less than 100 mbps download and 20 mbps upload and having no previous State of Iowa Broadband Grant funding or Federal Broadband Authorization or Obligations through RDOF, CAF II or ReConnect.

Esri ArcGIS Online (AGOL) Hosted Feature Layer which provides access to the MDOT SHA Roadway Federal Aid Eligibility data product.MDOT SHA Roadway Federal Aid Eligibility data consists of linear geometric features which represent the geographic location & extent of roadways throughout the State of Maryland that are eligible for Federal funding. Roadway Federal Aid Eligibility data is primarily used for general planning and funding purposes, as well as for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Federal Aid Eligibility data is not a complete representation of all roadway geometry.MDOT SHA Roadway Federal Aid Eligibility data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning & Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Federal Aid Eligibility data is used by various transportation business units throughout MDOT, as well as many other Federal, State & local government agencies. Roadway Federal Aid Eligibility data is key to understanding which roadways are eligible for Federal funding throughout the State of Maryland.MDOT SHA Roadway Federal Aid Eligibility data is updated & published on an annual basis for the prior year. This data is for the year 2023. For more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

IntroductionGeographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.MethodsA systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.Results and discussionThe search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.ConclusionsGIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base.

IntroductionBuilt environment attributes have been linked to cardiovascular disease (CVD) risk. Therefore, identifying built environment attributes that are associated with CVD risk is relevant for facilitating effective public health interventions.ObjectiveTo conduct a systematic review of literature to examine the influence of built environmental attributes on CVD risks.Data SourceMultiple database searches including Science direct, CINAHL, Masterfile Premier, EBSCO and manual scan of reference lists were conducted.Inclusion CriteriaStudies published in English between 2005 and April 2015 were included if they assessed one or more of the neighborhood environmental attributes in relation with any major CVD outcomes and selected risk factors among adults.Data ExtractionAuthor(s), country/city, sex, age, sample size, study design, tool used to measure neighborhood environment, exposure and outcome assessments and associations were extracted from eligible studies.ResultsEighteen studies met the inclusion criteria. Most studies used both cross-sectional design and Geographic Information System (GIS) to assess the neighborhood environmental attributes. Neighborhood environmental attributes were significantly associated with CVD risk and CVD outcomes in the expected direction. Residential density, safety from traffic, recreation facilities, street connectivity and high walkable environment were associated with physical activity. High walkable environment, fast food restaurants, supermarket/grocery stores were associated with blood pressure, body mass index, diabetes mellitus and metabolic syndrome. High density traffic, road proximity and fast food restaurants were associated with CVDs outcomes.ConclusionThis study confirms the relationship between neighborhood environment attributes and CVDs and risk factors. Prevention programs should account for neighborhood environmental attributes in the communities where people live.

The maintenance requirements for the Real Property Geodatabase are focused on ensuring that the geodatabase design and the database itself will appropriately support the District’s data maintenance activities for tax and record lots and associated information. These include accurate representation of current data, structures and rules that aid quality control, and accurate construction and maintenance of historical data.

State of Maryland Priority Funding Area boundary dataset. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:CPFA (Certified PFA): If field is populated as “IN” then the PFA has been designated at a Priority Funding Area locally. MUN_CODE (Municipality Code): MUN = within Priority Funding Area (PFA); MUNCOM = PFA with comment; MUN_NONPFA = not in PFA Rural Village Code (RUVI_CODE): RV = within a Rural Village Rural Village Name (RUVI_NAME): Name of the Rural Village COMMENT_STATUS (Comment Status): If field is populated with “NO” then there is no state-placed comment on the area. If the field is populated with “YES” then the state has placed a comment on the area based on eligibility. ACRES (GIS Acres): GIS calculated acres. JURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).CERT_DATE (Certification Date) (DD/MM/YYYY): This date is known as the “Certification Date” of the PFA. The date 1/1/1997, or NULL, is used as a default date of when the PFA was certified were first indicated in the GIS layer and not necessarily of when it was actually certified. If there's a date of 1/1/1997, it can be assumed that the PFA was certified on, or before this date. STATE_ELIGIBLE_STATUS (State Eligible): This field is based on whether the PFA has a comment. If there is no comment, then the field will be populated with YES; if there is a state-placed comment, the field will be populated with NO. Point of Contact: Ellen Mussman ellen.mussman@maryland.gov and Meagan Fairfield-Peak meagan.fairfieldpeak@maryland.govDate Last Updated 10/22/2024This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PriorityFundingAreas/FeatureServer/0

MCAS-S version 3.2
The Multi-Criteria Analysis Shell for Spatial Decision Support (MCAS-S) is a tool to view and combine mapped information. MCAS-S can inform spatial decision making and help with stakeholder engagement and communication. MCAS-S is powerful and easy to use. GIS (geographic information system) programming is not required, removing the usual technical obstacles to non-GIS users.

MCAS-S projects are: • transparent - you can see all the inputs used to meet an objective and how these are combined • flexible - you can use MCAS-S to compare options and explore trade-offs. You can use your own input data • fast - you can immediately see changes to your objective when any input or combination method changes. The new version 3.2 has: • improved performance • a user guide incorporated into the software • live links to metadata • more options for processing and analysing time series data • simpler options for labelling and classifying data inputs.

MCAS-S 3.2 is made freely available with the support of the MCAS-S development partners: ABARES, the NSW Office of Environment and Heritage, Barry Consulting, the Australian Collaborative Land Use and Management Program, the National Environmental Research Program Landscapes and Policy Hub at University of Tasmania and the Terrestrial Ecosystems Research Network.

CDFW BIOS GIS Dataset, Contact: Chris Stermer, Description: The database represents 45 point locations and associated stand assessment data collected in aspen stands in the Klamath National Forest. Ecological Unit Inventory data set was compiled by the KNF between 1991 and 1999. Aspen stands were interpreted using USGS 1m resolution grey scale aerial photography (DOQQ's) captured during the summer of 1993. Stands were evaluated on criteria including seral stage, tree size, primary and secondary dominant trees species, and vegetation category type.