MDC06CaseStudy - In September 2023, the University of Miami Industrial Assessment Center (MIIAC) performed an assessment at CGI Merchant Group. A report presented no cost and low-cost recommendations on how to save energy, water, and money.Open PDF - https://gisweb.miamidade.gov/agolpdf/MDC06CaseStudy.pdf

This dataset was downloaded from the United States Census Bureau and is accurate as of January 1, 2017. The original dataset was provided in a Geographic Coordinate System (GCS_North_American_1983), coordinate system identifier 4269 Codespace EPSG version 6.12(3.0.1).https://www.census.gov/cgi-bin/geo/shapefiles/index.phpThese files were specifically created to support small-scale thematic mapping. To improve the appearance of shapes at small scales, areas are represented with fewer vertices than detailed TIGER/Line Shapefiles. Cartographic boundary files take up less disk space than their ungeneralized counterparts. Cartographic boundary files take less time to render on screen than TIGER/Line Shapefiles. You can join this file with table data downloaded from American FactFinder by using the AFFGEOID field in the cartographic boundary file. If detailed boundaries are required, please use the TIGER/Line Shapefiles instead of the generalized cartographic boundary files.

This data set contains GIS coverages constructed from measurements taken of logged areas in the Tapajos National Forest region of Para, Brazil in 1996 and 1998 (Asner et al., 2004). Coverages include log decks (patios), roads, skids trails, tree-fall locations, and block boundary. They are in ArcInfo SHAPE format (*.shp). The Tapajos data are in latitude/longitude using the WGS84 datum.

This data set contains GIS coverages constructed from measurements taken of logged areas in Juruena, Mato Grosso. Classes include roads, skids trails, tree crowns, tree-fall locations, and block boundary (Asner et al., 2004). Coverages are in ArcInfo SHAPE format (*.shp), UTM projection, using the WGS84 datum.

The dam inventory gives the identification, location, construction parameters, and the operation and maintenance history of the dams in Utah. Inventory Page may be found here

The data provides a summary of requests for service that require action by City staff. Data is presented by ward and shows the responsible City department and service request description. Service Requests may be received from citizens through the following Channels: 311 Contact Centre, Client Service Centres 311 EmailWeb-based Self- Service portalService requests may also be generated internally by City staff.Accuracy: There are no known errors in the dataset.\u2022 Main report does not include Graffiti service requests logged via an online form on ottawa.ca (https://ottawa.ca/cgi-bin/form.cgi?dir=graffiti&form=reporting_en) which is not linked to the current Citizen Service Management system. These requests are reported in a note to the posted data.\u2022 Some of the service requests reported may subsequently be reclassified or new requests opened to deal with separate issues arising from the original request. These actions may result in slight variations in the data subsequently reported from the databases. These variances range from 0.0% to 0.5% and are not considered material for analysis purposes.Update Frequency:Contact: Kyla Weir

GIS layers that describe the soils of the BOREAS SSA. Original data were submitted as vector layers that were then gridded by BOREAS staff to a 30-meter pixel size in the AEAC projection.

The data provides a summary of requests for service that require action by City staff. Data is presented by ward and shows the responsible City department and service request description. Service Requests may be received from citizens through the following Channels: 31 1 Contact Centre, Client Service Centres 311 EmailWeb-based Self- Service portalService requests may also be generated internally by City staff. Accuracy: There are no known errors in the dataset.\u2022 Main report does not include Graffiti service requests logged via an online form on ottawa.ca (https://ottawa.ca/cgi-bin/form.cgi?dir=graffiti&form=reporting_en) which is not linked to the current Citizen Service Management system. These requests are reported in a note to the posted data.\u2022 Some of the service requests reported may subsequently be reclassified or new requests opened to deal with separate issues arising from the original request. These actions may result in slight variations in the data subsequently reported from the databases. These variances range from 0.0% to 0.5% and are not considered material for analysis purposes. Update Frequency: Contact: Kyla Weir

This data set includes 16 zipped archives of shapefiles of cities, rivers and streams, roads, and study area boundaries of several Amazonian study sites: Altamira, Santarem, Bragantina, and Ponta de Pedras, in the state of Para, and 1 site at Machadinho D'Oeste, in the state of Rondonia. Data from Brazil were digitized from Instituto Nacional de Colonizacao e Reforma Agraria (INCRA) maps and other data from Instituto Brasileiro de Geografia e Estatistica (IBGE). These products were prepared in the 2000-2004 time period. The data of creation for the source material is unknown.

Download ServicesThe density of indicative threatened ecological community distributions is derived from the Department's ecological communities of national environmental significance data. Threatened Ecological Communities (TEC) distributions contain three categories to indicate where their habitat is known, likely or may occur across Australia. The spatial input data was filtered using the following criteria:1. Distributions for EPBC Act (1999) listed TECs that are Matters of National Environmental Significance (critically endangered or endangered).2. Contains ‘known’ and/or ‘likely to occur’ habitat categories.3. Marine TECs are includedThe number of overlaps for each distribution in the selected feature set were counted and gridded to a 0.01 decimal degree (~1km) cell size. Note projecting the data will alter the cell size. The source distribution for each TEC is determined independently of others and is indicative in nature. As such, a count higher than one may indicate:• TECs have been mapped in the same habitat or• TECs are mapped adjacent within the same 1km grid cell or• TECs distributions have been mapped at different scales or levels of detailGiven the indicative nature of the source data which includes data of a range of quality and currency, this output should be used as a guide to the location of TECs across the country.The selection of TEC distributions for inclusion in the count is based on the EPBC Act list of TECs and spatial data in the Department enterprise GIS as at the revision date in the metadata. Current EPBC Act listed TECs are described in the Species Profiles and Threats application (SPRAT: https://www.environment.gov.au/cgi-bin/sprat/public/sprat.pl).

What is unique about LA County’s data?It is clipped to the ocean boundary. Raw Census data includes a 3 mile buffer into the ocean, which impacts cartography.IMPORTANT! It has been updated to the 2012 Census Geography Update, which merged Tracts 1370.00 and 9304.01 into the combined tract 1370.00. So the CT10 field actually reflects the 2012 Census update, which is used for all population products 2012 and later.How was this data created?This data was downloaded from Census Bureau website: http://www.census.gov/cgi-bin/geo/shapefiles2010/file-download and clipped to the County Boundary using ESRI’s ArcGIS Desktop. Two new fields were added in census tract data – area in square feet and shape length in feet. This dataset has unique identifier field “GEOID10” for each record and the census tract number fields “CT10” and “LABEL” (6-digit number and 6-digit number with decimal point, respectively).

The Referrals Spatial Database records locations of referrals submitted to the Department under the Environment Protection and Biodiversity Conservation (EPBC Act) 1999. A proponent (who are those proposing a development) must supply the maximum extent (location) of any proposed activities that need to be assessed under the EPBC Act through an application process. Referral boundaries should not be misinterpreted as development footprints but where referrals have been received by the Department.

It should be noted that not all referrals captured within the Referrals Spatial Database, are assessed and approved by the Minister for the Environment, as some are withdrawn before assessment can take place. For more detailed information on a referral a URL is provided to the EPBC Act Public notices pages. Status and detailed planning documentation is available on the EPBC Act Public notices (http://www.environment.gov.au/cgi-bin/epbc/epbc_ap.pl?). This includes some summary statistics and public notifications.

In the first instance where a proponent provides GIS data through a referral application, this is loaded as the polygons for a referral. Where this doesn't exist other means to digitise boundaries are employed to provide a relatively accurate reflection of the maximum extent for which the referral may impact. This sometimes takes the form of heads up digitising planning documents, sourcing from other state databases (such as PSMA Australia) features and coordinates supplied through the application forms.

This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group on March 27th, 2023. It contains the 4,918 census tracts in New York State and identifies the 1,736 census tracts that make up the current Disadvantaged Communities (DAC) definition. The dataset also includes the 45 indicators, expressed as a percentile ranking, used to determine each census tracts’ Environmental Burden and Climate Change Risks, and Population Characteristics and Health Vulnerabilities. The source for the Census Tract data is the US Census Bureau, Geography Division, Year 2019. For more information, please visit https://www.census.gov/cgi-bin/geo/shapefiles/index.php. The chosen 45 indicators represent a variety of data sources, both private and public. Further details on the methodology and resources can be found at https://climate.ny.gov/DAC-Criteria in the Technical Documentation, Indicator Prioritization and Selection section.View Dataset on the Gateway

[Metadata] NGS Geodetic Control Stations: This data contains a set of geodetic control stations maintained by the National Geodetic Survey. Downloaded by the Hawaii Statewide GIS Program from NGS, 1/28/22. Each geodetic control station in this dataset has either a precise Latitude/Longitude used for horizontal control or a precise Orthometric Height used for vertical control, or both. The National Geodetic Survey (NGS) serves as the Nation's depository for geodetic data. The NGS distributes geodetic data worldwide to a variety of users. These geodetic data include the final results of geodetic surveys, software programs to format, compute, verify, and adjust original survey observations or to convert values from one geodetic datum to another, and publications that describe how to obtain and use Geodetic Data products and services. Note: This data was projected to the State's standard projection/datum of UTM Zone 4, NAD 83 HARN for use in the State's GIS database, The State posts an un-projected version of the layer on its legacy site (https://planning.hawaii.gov/gis/download-gis-data-expanded/#013), or users can visit the National Geodetic Survey site directly, at https://www.ngs.noaa.gov/cgi-bin/sf_archive.prl. For additional information, please see metadata at https://files.hawaii.gov/dbedt/op/gis/data/ngs_geodetic_ctrl_stns_summary.pdfor contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Er zijn een aantal lagen van Stadsbeheer beschikbaar als webservice volgens de standaarden WMS/WFS. Meer informatie over deze standaarden en hoe ze gebruikt kunnen worden is te vinden op http://www.opengeospatial.org/

Voorbeelden van (gratis) software waarmee je de webservice kunt benaderen zijn: - QGIS - gvSIG - uDig

1 Vraag informatie over de webservice:

http://ows.gis.rotterdam.nl/cgi-bin/mapserv.exe?map=d:%5Cgwr%5Cwebdata%5Cmapserver%5Cmap%5Cbbdwh_pub.map&service=wms&request=getcapabilities

2 Haal kaart op:

http://ows.gis.rotterdam.nl/cgi-bin/mapserv.exe?map=d:%5Cgwr%5Cwebdata%5Cmapserver%5Cmap%5CBBDWH_pub.map&LAYERS=sdo_gwr_bsb_grn_elm_vlk&STYLES=&VERSION=1.3.0&REQUEST=GetMap&CRS=EPSG:28992&BBOX=91187.177790573,435905.88627779,93735.113914687,437929.94768479&WIDTH=963&HEIGHT=765&FORMAT=image/png&TRANSPARENT=FALSE&BGCOLOR=0xFFFFFF&SERVICE=WMS

Tämä linkki antaa yleiskuvan kaikista maankäyttösuunnitelmista, kehityssuunnitelmista ja muista säädöksistä, jotka ovat oikeudellisesti sitovia sekä menettelyn mukaisesti.

Tiedot voidaan noutaa päivittäin päivitettävällä WMS/WFS-järjestelmällä ja käyttää uudelleenkäyttöä varten.

Linkki WMS/WFS:ään: https://geodata.o-sp.de/service/niederzier.cgi (voidaan avata esim. GIS-ohjelmalla)

Linkki lisenssiehtoihin: Data-lisenssi Saksa ”Attribution” Versio 2.0

This is a NASA Landsat 8 image of the South-east of Scotland which was acquired on 06/07/2013. You can view the metadata for this record here: http://glovis.usgs.gov/ImgViewer/showmetadata.cgi?scene_id=LC82040212013187LGN00 The image has 3.8% cloud cover and a quality rating of 9. This image is 32bit and will load in many GIS but may not load in standard image viewers. Downloaded from glovis.usgs.gov portal and manipulated into a true-color image using QGIS 2.2. Bands 2/3/4 where used to make the true-color image. Please reference Landsat NASA as the data source when using this dataset using the following: Landsat8 image (LC82040212013187LGN00), NASA 2013. Aerial or Satellite Imagery. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-05-29 and migrated to Edinburgh DataShare on 2017-02-22.

Census Bureau Tiger/Line Shapefiles : https://www.census.gov/cgi-bin/geo/shapefiles/index.php

The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php