The CAWD GIS was built using local Geographic Information Systems (GIS) and Global Positioning Systems (GPS). Information provided may be used with the consent of the Carmel Area Wastewater District (CAWD). The map is distributed "AS - IS" without any warranties of any kind. This map is intended as a graphical representation of field conditions; the actual location of features in the field may differ from the depiction on the maps.

This webGIS app presents many data layers available from MassGIS in addition to locally produced data. Thematically linked data have been grouped into various "quick maps" for easy viewing, but all layers may be displayed alongside any others. Users can also export maps to PNG format. Proper support for mobile devices is planned for the near future.

Web Map contains coordinated layers for Story Map. Assignment 2 GIS 669 Web GIS.

Resource Mapping data was collected from field survey and all points such as markets, atms, schools were located and appropriate tags were given.

Data was uploaded on Google sheets and addons of Fusion Mas and point map were installed and addons were run to form virtual maps in their own particular webpages.

Source link of those webpages are determined and were added in a iframe in src link.

In web html design a table was made and all three iframe are added in table.

The final html was added as html element in sites.google.com to create a custom website.

The website link: www.sites.google.com/site/pranavrsmap

Webpage and Sheets are the most important data here. Other data are optional and are uploaded for your Geospatial Location research

This map is the 2018 Ecosystem Services Web Map. It was created by the ASEBIO team to be used in the ASEBIO webGIS.Below you can find the layers that are visible for this map.To download this data, visit the download section in the WebGIS Hub.

Number of geoportals found from a sample of 998 municipalities and 27 states from Brazil.

This map is the Stakeholders ES Potential Perception Web Map.Below you can find the layers that are visible for this map.To download this data, visit the download section in the WebGIS Hub.

This map is the Erosion Prevention Web Map.Below you can find the layers that are visible for this map.To download this data, visit the download section in the WebGIS Hub.

ArcGIS is a platform, and the platform is extending to the web. ArcGIS Online offers shared content, and has become a living atlas of the world. Ready-to-use curated content is published by Esri, Partners, and Users, and Esri is getting the ball rolling by offering authoritative data layers and tools.Specifically for Natural Resources data, Esri is offering foundational data useful for biogeographic analysis, natural resource management, land use planning and conservation. Some of the layers available are Land Cover, Wilderness Areas, Soils Range Production, Soils Frost Free Days, Watershed Delineation, Slope. The layers are available as Image Services that are analysis-ready and Geoprocessing Services that extract data for download and perform analysis.We've made large strides with online analysis. The latest release of ArcGIS Online's map viewer allows you to perform analysis on ArcGIS Online. Some of the currently available analysis tools are Find Hot Spots, Create Buffers, Summarize Within, Summarize Nearby. In addition, we've created Ready-to-use Esri hosted analysis tools that run on Esri hosted data. These are in Beta, and they include Watershed Delineation, Viewshed, Profile, and Summarize Elevation.

ESYS plc and the Department of Geomatic Engineering at University College London (UCL) have been funded by the British National Space Centre (BNSC) to develop a web GIS service to serve geographic data derived from remote sensing datasets. Funding was provided as part of the BNSC International Co-operation Programme 2 (ICP-2).

Particular aims of the project were to:

1. use Open Geospatial Consortium (OGC, recently renamed from the OpenGIS Consortium) technologies for map and data serving;

2. serve datasets for Europe and Africa, particularly Landsat TM and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data;

3. provide a website giving access to the served data;

4. provide software scripts, etc., and a document reporting the data processing and software set-up methods developed during the project.

ICEDS was inspired in particular by the Committee on Earth Observing Satellites (CEOS) CEOS Landsat and SRTM Project (CLASP) proposal. An express intention of ICEDS (aim 4 in the list above) was therefore that the solution developed by ESYS and UCL should be redistributable, for example, to other CEOS members. This was taken to mean not only software scripts but also the methods developed by the project team to prepare the data and set up the server. In order to be compatible with aim 4, it was also felt that the use of Open Source, or at least 'free-of-cost' software for the Web GIS serving was an essential component. After an initial survey of the Web GIS packages available at the time , the ICEDS team decided to use the Deegree package, a free software initiative founded by the GIS and Remote Sensing unit of the Department of Geography, University of Bonn , and lat/lon . However the Red Spider web mapping software suite was also provided by IONIC Software - this is a commercial web mapping package but was provided pro bono by IONIC for this project and has been used in parallel to investigate the possibilities and limitations opened up by using a commercial package.

http://iceds.ge.ucl.ac.uk/

This map covers the area in the north of The Sound of Barra, at the south-eastern end of South Uist. The Sound of Barrahas been selected as a possible Special Area of Conservation (pSAC) on the basis of the nationally important colony of common seals, Phoca vitulina, and also for the wide variety of habitats associated with shallow ‘sandbanks which are slightly covered by seawater all the time’. A number of the sandbank habitats are of considerable conservation value, most notably the extensive beds of the eelgrass Zostera marina and tide-swept maerl beds composed of the coralline red alga Phymatolithon calcareum. A comprehensive biotope mapping survey of the sublittoral habitats within the Sound was undertaken in August 2001, by a collaborative research group from the University of St Andrews, Heriot-Watt University, Edinburgh University and Scottish Natural Heritage (SNH). This information supplemented the existing knowledge on the distribution of marine communities within the Sound of Barra pSAC and all this information was synthesised into a series of biotope classification maps.

Additional information source:

Bates, C. R., Moore, C. G., Malthus, T., Harries, D. B., Austin, W., Mair, J. M. and Karpouzli, E. (2004). Broad scale mapping of sublittoral habitats in The Sound of Barra, Scotland. Scottish Natural Heritage Commissioned Report No. 005 (ROAME No. F01AA4

The dataset comprises the distribution of each vegetative community habitat class, sub-class and formation represented and mappable in the Turks and Caicos Islands. The DECR, Ministry of Natural Resources, and the Turks and Caicos Government (TCIG), financed by the Joint Nature Conservation Committee (JNCC), contracted a series of habitat classification maps for the Turks and Caicos Islands. The project was finalized in 2011. The data can be visualised at: https://webgis.gov.tc

The aim of this survey was to map the biotopes in the area of Dornoch Firth between Bonar Bridge and a line extending from Dornoch to the mid-point of the intertidal rocks west of Portmahomack. This dataset is a map of the predicted biotope distributions for this area.

Additional information source:

Munro C & Nunny R (2000). Broadscale survey and mapping of seabed and shore habitats and biota, Dornoch Firth pSAC. Scottish Natural Heritage commissioned report F97PA03 (Unpublished report)

Town of Hampden, MA GIS Viewer

This map covers the area in the south of The Sound of Barra, at the northeastern corner of Barra (from Traigh Mhor to near Loch Obe). The Sound of Barra has been selected as a possible Special Area of Conservation (pSAC) on the basis of the nationally important colony of common seals, Phoca vitulina, and also for the wide variety of habitats associated with shallow ‘sandbanks which are slightly covered by seawater all the time’. A number of the sandbank habitats are of considerable conservation value, most notably the extensive beds of the eelgrass Zostera marina and tide-swept maerl beds composed of the coralline red alga Phymatolithon calcareum. A comprehensive biotope mapping survey of the sublittoral habitats within the Sound was undertaken in August 2001, by a collaborative research group from the University of St Andrews, Heriot-Watt University, Edinburgh University and Scottish Natural Heritage (SNH). This information supplemented the existing knowledge on the distribution of marine communities within the Sound of Barra pSAC and all this information was synthesised into a series of biotope classification maps.

Additional information source:

Bates, C. R., Moore, C. G., Malthus, T., Harries, D. B., Austin, W., Mair, J. M. and Karpouzli, E. (2004). Broad scale mapping of sublittoral habitats in The Sound of Barra, Scotland. Scottish Natural Heritage Commissioned Report No. 005 (ROAME No. F01AA4

Kenya WEBGIS hosts the Kenya geo-data online enabling spatial exploration, rendering, visualization and mining/exporting/downloading of datasets for personal or organizational use. The datasets include the Kenya digital contour lines at 10m and 30m. The contour lines and other datasets have been used to train the QueryAI tool which facilitates accurate clipping of datasets within the Kenya admin levels ranging from sublocation to national. Using the query tool on the application, users can clip or filter datasets to a given existing or newly created or customized polygons. Kenya WEBGIS gives you the opportunity to query location to answer the question "What is where?". It makes it simple to understand and illustrate the "science of where" especially to the people who are learning or teaching geography, GIS, social studies and environment education at different levels.Kenya WEBGIS effectively supports the CBC learning curriculum enabling the identification, visualization and filtering of features at unique levels and includes satellite images as basemaps. Use Kenya WEBGIS for making maps online without the use of software.

WORKING VERSION. All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at 60° latitude. A_Aspect.tif, A_slope.tif and A_elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo. biomass.tif - Biomass values at year 2020, Mg/ha. canopyBulkDensity.tif - Amount of canopy biomass per volume of canopy (kg/m3) canopyBaseHeight.tif - Height of canopy start measured from the ground (m) canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005 canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023) Fuel Model FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005 FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.

The Decision Analytic Platform (DAP) aims to support the planning and decision-making process, to evaluate different options for water reuse. The final DAP prototype demonstrator is focused on the Apulian demo site (in Italy), due to its complexity and spatial extension, where greater emphasis is placed on the decision-making component of medium-term planning. This dataset represents the geographical data used to populate the Evaluation Map page of the DAP as reported in Figure 7 of Deliverable D.4.3 Final prototype of the ICT- based DAP, integrating a fully featured webGIS, that allows to render and query both static layers, presenting the Apulian Aqueduct system (e.g. reservoirs, main vectors, existing wells, ..) and dynamic spatial indicators, changing the displayed values according to the combination of Water Planning Portfolios (WPP) and future scenarios. The dataset consists of a geopackage file containing layers representing: evaluation indicators (e.g. "Yearly average water deficit for irrigation"), where different values of indicators are associated with each combination of WPP and Scenario Acquedotto Pugliese (AQP) Water System physical features (e.g. wells, springs, aqueduct network main branches, ...) A Qgis project named evaluation_map is also included in the geopackage, to facilitate map visualization with QGIS. Data have been elaborated from the dataset retrieved by: Acquedotto Pugliese, Apulia Region, OpenStreetMap

Raster files of the regional cartographic production dedicated to the paths in the most updated edition. The routes and related information were, in almost all cases, surveyed in the field and reported on the Regional Technical Map. Currently they are consequently included in the "Paths" database which contains, according to the logic of a geographic information system (GIS), what may be of interest to hikers. This database can be consulted via the internet by browsing the webGIS dedicated to the marked routes of the regional territory http://sentieriweb.regione.emilia-romagna.it.

The COCONET WebGIS publishes data stored in the Geodatabases with all information available for the Mediterranean and Black Seas. The WebGIS system provides access and integration of all types of data produced by different partners within all WPs. This new interactive system allows the partners to visualize the Geodatabase architectures, to query and download data, to print a map with a legend. The downloading function is regulated by a DATA POLICY that user must accept and sign before data access. Credential for data downloading are provided to partners after data policy acceptance.