The Asia-Pacific Geographic Information System (GIS) Software for Agriculture Market is expected to grow at a CAGR of around 14% during the forecast period, i.e., 2022-27 says MarkNtel Advisors.

These data provide an accurate high-resolution shoreline compiled from imagery of PORTS OF NORFOLK AND NEWPORT NEWS, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data were automated to provide an accurate high-resolution historical shoreline of Newport News Waterfront, VA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

These data were automated to provide an accurate high-resolution historical shoreline of Newport News to Willoughby Spit, Virginia suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

This is a connection to the York County Spatial GIS Open Data Portal managed by the York County Planning Commission with coordination from York County Departments.

Contact Information: York County Planning Commission 28 East Market Street, 3rd Floor York, PA 17401-1580 T: 717.771.9870 F: 717.771.9511 E: InformationSystemschief@ycpc.org

Website: www.ycpc.org includes all the latest news

Visit http://yorkcountypa.maps.arcgis.com/home/index.html to view our interactive web mapping applications.

Disclaimer: The York County Planning Commission provides this Geographic Information System map and/or data (collectively the "Data") as a public information service. The Data is not a legally recorded plan, survey, official tax map, or engineering schematic and should be used for only general information. Reasonable effort has been made to ensure that the Data is correct; however the Commission does not guarantee its accuracy, completeness, or timeliness. The Commission shall not be liable for any damages that may arise from the use of the Data.

Abstract:

Analyzing the spread of information related to a specific event in the news has many potential applications. Consequently, various systems have been developed to facilitate the analysis of information spreadings such as detection of disease propagation and identification of the spreading of fake news through social media. There are several open challenges in the process of discerning information propagation, among them the lack of resources for training and evaluation. This paper describes the process of compiling a corpus from the EventRegistry global media monitoring system. We focus on information spreading in three domains: sports (i.e. the FIFA WorldCup), natural disasters (i.e. earthquakes), and climate change (i.e.global warming). This corpus is a valuable addition to the currently available datasets to examine the spreading of information about various kinds of events.

Introduction:

Domain-specific gaps in information spreading are ubiquitous and may exist due to economic conditions, political factors, or linguistic, geographical, time-zone, cultural, and other barriers. These factors potentially contribute to obstructing the flow of local as well as international news. We believe that there is a lack of research studies that examine, identify, and uncover the reasons for barriers in information spreading. Additionally, there is limited availability of datasets containing news text and metadata including time, place, source, and other relevant information. When a piece of information starts spreading, it implicitly raises questions such as as

1. How far does the information in the form of news reach out to the public?
2. Does the content of news remain the same or changes to a certain extent?
3. Do the cultural values impact the information especially when the same news will get translated in other languages?

Statistics about datasets:

--------------------------------------------------------------------------------------------------------------------------------------

# Domain Event Type Articles Per Language Total Articles

1 Sports FIFA World Cup 983-en, 762-sp, 711-de, 10-sl, 216-pt 2679

2 Natural Disaster Earthquake 941-en, 999-sp, 937-de, 19-sl, 251-pt 3147

3 Climate Changes Global Warming 996-en, 298-sp, 545-de, 8-sl, 97-pt 1945

--------------------------------------------------------------------------------------------------------------------------------------

The Christmas Island Geographic Information System (CIGIS) is a collection of spatial data, viewing and analysis tools dealing with Christmas Island, Indian Ocean. The data include orthophotography, topographic, mining, cultural and environmental features of the island. This work is part of ongoing service to the Department of Transport and Regional Services.

Index system of influencing factors of internet attention.

Dataset Name: Greenspace NI LayerData Owner: Outdoor Recreation NIContact: emma.taylor@outdoorrecreationni.comSource URL: https://www.outdoorrecreationni.com/news/greenspaceni-map/Uploaded to SPACE Hub: 04/07/23Update Frequency: AnnualScale Threshold: N/AProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonNotes: The Department of Agriculture, Environment and Rural Affairs (DAERA) and the Department for Infrastructure (DfI) on behalf of the cross-government Strategic Outdoor Recreation Group (SORG) commissioned Outdoor Recreation Northern Ireland (ORNI) to create a Greenspace Layer. ORNI have commissioned Geolytical to help with delivering an authoritative map of all off-road trails and publicly accessible greenspace.The Greenspace NI Map is designed so:The target of 'Annual increase of the population within a 5-minute walk of quality green/blue space' proposed for PfG and other strategies can be objectively measured;It can be used by government departments and agencies, Councils, and eNGOs, for infrastructure planning, gap analysis, resource allocation, site suitability assessments and demographic analysis (e.g., health and deprivation etc);The data will be published on SpatialNI, OpenDataNI, and on occasions, OutmoreNI.The Greenspace Map is comprised of 3 layers – NI Greenspace LayerNI Greenspace Access PointsNI Off-Road Trails NI Greenspace Layer contains Parks, Forests, Nature Reserves, Open Country and Amenity Greenspaces which are open and accessible to the public. The Access Points to these areas of Greenspace, Bluespaces and Off-Road Trails will be published as a separate layer.What is a Greenspace? For each polygon in the Greenspace Layer, a set of criteria must be met:The area must be at least 0.5 hectares (a higher limit of 2 hectares has been set for analysis).It must be an area of natural green space (some polygons may include areas of non-natural land).It must have public access (in some cases there may be restricted access or be behind a paywall). How has the Greenspace layer been created?This layer has been created by harmonising, combining and enhancing data from our data providers - Ordnance Survey NI, NIEA, Outdoor Recreation Northern Ireland, DAERA, Antrim and Newtownabbey Borough Council, Armagh City, Banbridge and Craigavon Borough Council, Belfast City Council, Causeway Coast and Glens Borough Council, Derry City and Strabane District Council, Fermanagh and Omagh District Council, Lisburn and Castlereagh City Council, Mid and East Antrim Borough Council, Mid Ulster District Council, Newry, Mourne and Down District Council, National Trust, Forest Service NI, Woodland Trust, Ulster Wildlife, NI Housing Executive.Data has been provided in a range of different formats: polygons, spreadsheets and points were provided each with varying levels of accuracy and attributes. Each has been refined and verified (where shown in the attribute table) to create a comprehensive layer of Greenspaces.Who's using the Greenspace Map?The Greenspace map can be used by anyone who has access to a Geographical Information System (GIS). Some examples of appropriate use of this data are listed below: Public sector - Incorporated as a layer, the dataset can be used alongside asset location data (GPs, pharmacies, schools) and indicator data (population and deprivation), to help inform and support the strategic planning of services and physical assets across the health economy. Innovators and researchers - NI's most comprehensive Open dataset of greenspaces can be used in a range of apps, products and innovations - providing the foundation to help create greener and healthier communities.FeedbackThink somewhere is missing from the data? Spot an inaccuracy in the attribution? Make us aware by emailing emma.taylor@outdoorrecreationni.comIf you have any further questions about the product, or would like to get in contact with a member of our support team, please reach out via our website.Currency and update frequencyThe currency of the product is June 2023 and has an annual update cycle.Usage and DisclaimerThe greenspace layer has been created with the most recent data available at time of publishing. Best efforts have been made in the production of the Greenspace NI Map to ensure the accuracy of the data, however as the data has come from a range of capture methodologies and scales, they may not reflect actual positional accuracy on the ground. There may also be a time lag between the content of the map at the time of creation and changes made on the ground. These layers should not be used to determine exact boundaries of land ownership. Where 'source' of data is outlined, it should be noted that this is the supplier of the data input, it does not define ownership of the area. However, in some cases the source may be the landowner also. Some assumptions and generalisations have been made to make the mapping process more feasible - polygons, points and lines have been aligned to Ordnance Survey NI maps. Exact details of each polygon, point or polyline have not undergone field validation so discrepancies may occur. Although the layer only includes land where the public have access, not every polygon or polyline has complete public access and some areas may have restricted access. ORNI and its providers of open and derived data will not be held responsible for any loss, damage or inconvenience of any nature caused as a result of any inaccuracy or error within the data.

These data were automated to provide an accurate high-resolution historical shoreline of Fort Monroe to Newport News, Virginia suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Location of cooling and warming centers in Los Angeles CountyThis dataset is maintained through the County of Los Angeles Location Management System. The Location Management System is used by the County of Los Angeles GIS Program to maintain a single, comprehensive geographic database of locations countywide. For more information on the Location Management System, visit http://egis3.lacounty.gov/lms/.