This dataset contains the seagrass beds delineated in 2022 in Casco Bay, from Cape Elizabeth to Cape Small in Phippsburg. Polygons were screen digitized from aerial imagery flown at low tide on July 16th, 2022. Imagery was captured using a Vexcel Eagle 80-mm Mark 3 aerial camera mounted on a fixed wing aircraft and flown at an elevation of approximately 9,500 feet. Polygons were refined based on field verification efforts that took place between August 29 and September 27, 2022. Field verification was carried out on foot by Old Brunswick Road at the New Meadows River and by boat using a Maine DEP vessel (20-foot Maritime Skiff with a 115 horse outboard motor), Ocean Systems High-Definition (HD) underwater video camera and SeaViewer 950 Sea-Drop Analog underwater video camera, and Eos Positioning Systems Arrow Gold GNSS GPS systems that pair wirelessly to Android powered ruggedized field tablets capable of submeter accuracy. Each seagrass bed is named by sequential number moving from southwest to northeast along the coast, then back southeast along the islands, which is provided in the ‘Name’ column. These beds are further divided into polygons by percent cover. Polygons are labeled with a unique identifier consisting of sequential numbers in the ‘Id’ column. A singular bed can consist of several Ids. Percent cover categories and percentages are based on those established by Orth et al. (1991), where 1=0-10% cover (very sparse), 2=10-40% cover (sparse), 3=40-70% cover (moderate), 4=70-100% cover (dense). This seagrass polygon shapefile also contains fields for whether the bed was field verified in 2022 (Y=yes or N=no) and whether there is corresponding underwater video footage (Y=yes, N=no). Field verified beds were verified only in part, meaning one or more transects were placed along the perimeter of the bed to confirm seagrass presence and aerial signatures; bed boundaries were not verified in their entirety. Field verification refers to whether the bed (Name field) was visited, it does not account for individual parts of the bed (Id field) with differing cover classes, though often verification occurred in more than one cover class per bed. Underwater video is present for most of the field verified beds but is lacking in some areas due to video transfer errors. The video column corresponds to the named underwater video file, which corresponds to transect name. Species and comment fields are also incorporated in this dataset. Species are only noted if directly observed by underwater video or by visual observations in shallow water. Widgeon grass was observed only in the New Meadows River area off of Old Brunswick Road from samples washed up near shore.

This interactive map, built from INSEE, IGN data, data from the national address database administered by the Interministerial Directorate of Digital (DINUM) and departmental data, allows you to visualize the streets and numbers of Rouen Normandie Métropole as well as different administrative and social perimeters in the Seine-Maritime Department in 2022.

there are three types of administrative perimeter:

• IRIS (Grouped Islands for Statistical Information). This division, set up by INSEE, is the basic building block for the dissemination of infra-municipal data. An IRIS represents between 1,800 and 5,000 inhabitants or more than 1,000 employees or a specific sparsely populated right-of-way (port, nature park, etc.),
• the municipalities,
• the cantons, which are the constituencies serving as the framework for the election of departmental councillors,

as well as a sectorisation corresponding to a scale of implementation of the Department's social policies:

• the sectors of the Medical and Social Centres (CMS), departmental structures that provide medical follow-up for babies and young children but also constitute a local entry point for access to rights (professional integration, support for the elderly, etc.)

The user can, by clicking on the name of a municipality and then, by selecting the choice(s) that automatically appear in the corresponding drop-down menus, view to which iris, Canton (pale orange background), CMS (pale green background) this territory belongs. Research is also possible from the CMS and cantonal levels.

On the perimeter of Rouen Métropole, the application also allows you to consult the national address database. It is thus possible to visualize a street and its numbers by choosing first a municipality of the metropolis then an address.

Finally, a right click on the map will indicate in a pop-up window the names of the different perimeters to which the clicked place belongs (press the arrows at the top right of the window to scroll through them). For more readability, you can also disable the selection of one or more categories by clicking on the "reset" button (at the bottom of the category) to leave visible only those that interest you.

Metadata

Link to metadata

Additional resources

• INSEE website: https://www.insee.fr/en/home

The website of the National Institute of Statistics and Economic Studies provides detailed definitions of the different French administrative perimeters and also allows you to download many data at these scales.

• Geoservices website: https://geoservices.ign.fr/

Many data from the National Institute of Geographical and Forestry Information are freely downloadable, in particular in shape format, on this site published by IGN.

• Website of the Seine-Maritime Department: https://www.seinemaritime.fr/my-daily/health/the-medico-social-centres-.html and https://www.seinemaritime.fr/my-department/the-territory/the-utas.html

The website of the Department of Seine-Maritime provides more information on the role of CMS and UTAS and the services they may offer.

This interactive map, built from INSEE, IGN and departmental data, allows to visualise different administrative and social perimeters in the Seine-Maritime Department in 2022.

these are four types of administrative perimeters:

• the IRIS (Collected Ilots for Statistical Information). This division, set up by INSEE, constitutes the basic brick for the dissemination of infra-communal data. An IRIS represents between 1,800 and 5,000 inhabitants or more than 1,000 employees or a specific sparsely populated right-of-way (port, natural park, etc.),
• the municipalities,

• intercommunalities (Public Institutions of Intercommunal Cooperation or EPCI), which are groupings of communes around joint projects: Communities of Communes, Communities of Agglomeration, Metropoles, etc.,

• the cantons, which are the constituencies serving as the executive for the election of departmental councillors,

as well as three corresponding sectors at the Department’s social policy implementation scales:

• the sectors of the Medical and Social Centres (CMS), departmental structures that provide medical follow-up for babies and young children, but also a local entry point for access to rights (occupational integration, support for the elderly, etc.)
• CMS groupings, which are more technical scopes used by the Department for the implementation of its social policies,
• and the Territorial Units of Social Action (UTAS), the Department is divided into 5 UTAS, which are places of reception, information, guidance and support to the public, as well as areas of reflection with sociological and territorial specificities.

The user can, by clicking on the name of a municipality and then, by selecting the choice(s) that automatically appear in the corresponding drop-down menus, visualise which EPCI, Canton, CMS, grouping of CMS and UTAS that territory belongs to. Research is also possible from the other levels: Finally, a right click on the map will indicate in a pop-up the names of the different perimeters to which the clicked place belongs (press the arrows at the top right of the window to scroll them). For more readability, you can also disable the selection of one or more categories by clicking on the “reset” button (at the bottom of the category) to leave visible only those that interest you.

Metadata

Link to metadata

Additional resources

• INSEE website: <HTTPS://WWW.INSEE.FR/FR/ACCUEIL >

The website of the Institut National de la Statistics et des Études Économiques provides detailed definitions of the various French administrative boundaries and also allows to download a lot of data at these scales.

• Geoservices website: HTTPS://GEOSERVICES.IGN.FR/

Many data from the National Institute of Geographical and Forestry Information are freely downloadable, especially in shape format, on this site edited by IGN.

• Website of the Seine-Maritime Department: https://www.seinemaritime.fr/mon-quotidien/sante/les-centres-medico-sociaux-.html and https://www.seinemaritime.fr/mon-departement/le-territoire/les-utas.html

The Seine-Maritime Department Site provides more information on the role of CMS and UTAS and the services they are likely to offer.

Traffic Volume (24hr count). Data are updated as needed by the Transportation department (typically in the summer), and subsequently copied to VicMap and the Open Data Portal the following day.Traffic speed and volume data are collected at various locations around the city, from different locations each year, using a variety of technologies and manual counting. Counters are placed on streets and at intersections, typically for 24-hour periods. Targeted information is also collected during morning or afternoon peak period travel times and can also be done for several days at a time to capture variability on different days of the week. The City collects data year-round and in all types of weather (except for extreme events like snowstorms). The City also uses data from our agency partners like Victoria Police, the CRD or ICBC. Speed values recorded at each location represent the 85th percentile speed, which means 85% or less traffic travels at that speed. This is standard practice among municipalities to reduce anomalies due to excessively speedy or excessively slow drivers. Values recorded are based on the entire 24-hour period.The Traffic Volume dataset is linear. The lines can be symbolized using arrows and the "Direction" attribute. Where the direction value is "one", use an arrow symbol where the arrow is at the end of the line. Where the direction value is "both", use an arrow symbol where there are arrows at both ends of the line. Use the "Label" field to add labels. The label field indicates the traffic volume at each location, and the year the data was collected. So for example, “2108(05)” means 2108 vehicles were counted in the year 2005 at that location.Data are automatically copied to the Open Data Portal. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through automated scripts which does not trigger the "last updated" date to change. Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.