Web GIS GeoProcessor (http://www.geo.iitp.ru/app.php?link=gis:geoproc2) is targeted to perform analysis of spatial geographic information as well as to solve problems of spatial forecasting. The field of application comprises spatial-data analysis, geological environment research and decision-making support in such problems as seismic hazard assessment and environmental zonation. Analytical abilities of GIS are supplemented by visual research methods, vector and grid-based data calculations, operations of spatial forecasting and pattern recognition, etc. Considering examples of earthquake damage assessment, seismic hazard analysis, geophysical properties forecasting, GeoProcessor 2.0 proved to be an effective tool for fundamental and applied problem investigation.

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.

The Spatial Data Explorer brings together data relevant for the assessment of London’s Water Environment from various data providers, such as the Environment Agency, BGS, the Rivers Trust, Ordnance Survey and others. This data is grouped in the following themes:

• Administrative boundaries
• Green Infrastructure/SuDS
• Landscape
• Pollutant Risks
• Rivers, Catchments and Flooding
• River Scour
• Socio-Economic-Data
• Water Quality
• Water Resources

The Water Data Explorer also allows users to visualise these datasets alongside their own data, which can be added to the webmap in various formats

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

The Kalochori Accelerometric Network (KAN) operates since 2014 in the urban area of Kalochori, 7 km west of Thessaloniki in Northern Greece, as part of a multi-sensor monitoring scheme developed during the INDES-MUSA project (http://www.indes-musa.gr/en/). KAN is composed of seven accelerometric stations; three ground stations installed in distinct urban zones (i.e. residential, industrial and tanks zone), three stations on top of a selected structure within each urban zone and one free-field station away from the built environment. All the stations are documented with installation and operating features, available characteristics of the housing structures and geotechnical data at the stations sites. The data linked to this DOI refer to seventy eight (78) earthquakes that have been recorded by KAN between 01/16/2014 and 12/31/2016. More specifically, the uploaded dataset includes KAN stations monographs, filtered and unfiltered acceleration recordings and metadata of the recorded earthquakes. An online demonstration of the Kalochori Accelerometric Network and dissemination of the above data is provided through the INDES-MUSA Web-GIS platform http://apollo.itsak.gr/apollo-portal/ApolloPro.aspx.

In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German! Link for the integration of WMS data: https://wms.geo.admin.ch/ Link to the description on the Swisstopo website: https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html Link to the Seilaplan website: https://seilaplan.wsl.ch

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI. Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/ Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html Link zur Seilaplan-Website: https://seilaplan.wsl.ch

Description of the variables required to characterize the breed to be monitored, provided by the breeding association.

Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.