Redlands, CA, United States
Redlands, CA, United States

Esri is an international supplier of Geographic Information System software, web GIS and geodatabase management applications. The company is headquartered in Redlands, California.The company was founded as Environmental Systems Research Institute in 1969 as a land-use consulting firm. Esri products have 40.7% of the global market share. In 2002, Esri had approximately a 30 percent share of the GIS software market worldwide, more than any other vendor.The company has 10 regional offices in the U.S. and a network of 80 international distributors, with about a million users in 200 countries. The firm has 3,000 employees in the U.S., and is still privately held by the founders. In 2006, revenues were about $660 million. In a 2009 Investor's Business Daily article, Esri's annual revenues were indicated to be $1.2 billion, from 300,000 customers .The company hosts an annual International User's Conference, which was first held on the Redlands campus in 1981 with 16 attendees. More recently, the User's Conference has been held in San Diego at the San Diego Convention Center for the past 10 years. An estimated 15,000 users from 131 countries attended in 2012. Wikipedia.

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Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WATER-1a-2014 | Award Amount: 4.25M | Year: 2015

The main objective of MOSES is to put in place and demonstrate at the real scale of application an information platform devoted to water procurement and management agencies (e.g. reclamation consortia, irrigation districts, etc.) to facilitate planning of irrigation water resources, with the aim of: saving water; improving services to farmers; reducing monetary and energy costs. To achieve these goals, the MOSES project combines in an innovative and integrated platform a wide range of data and technological resources: EO data, probabilistic seasonal forecasting and numerical weather prediction, crop water requirement and irrigation modelling and online GIS Decision Support System. Spatial scales of services range from river basin to sub-district; users access the system depending on their expertise and needs. Main system components are: 1. early-season irrigated crop mapping 2. seasonal weather forecasting and downscaling 3. in-season monitoring of evapotranspiration and water availability 4. seasonal and medium/short term irrigation forecasting Four Demonstration Areas will be set up in Italy, Spain, Romania and Morocco, plus an Indian organization acting as observer. Different water procurement and distribution scenarios will be considered, collecting data and user needs, interfacing with existing local services and contributing to service definition. Demonstrative and training sessions are foreseen for service exploitation in the Demonstration Areas. The proposed system is targeting EIP on Water thematic priorities related to increasing agriculture water use efficiency, water resource monitoring and flood and drought risk management; it will be compliant to INSPIRE. This SME-led project address to the irrigated agriculture users an integrated and innovative water management solution.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-39-2015 | Award Amount: 3.93M | Year: 2016

its4land delivers an innovative suite of land tenure recording tools that responds to sub Saharan Africas immense challenge to rapidly and cheaply map millions of unrecognized land rights in the region. ICT innovation will play a key role. Existing approaches have failed: disputes abound, investment is impeded, and the communitys poorest lose out. its4land reinforces strategic collaboration between the EU and East Africa via a scalable and transferrable ICT solution. Established local, national, and international partnerships drive the project results beyond R&D into the commercial realm. its4land combines an innovation process with emerging geospatial technologies, including smart sketchmaps, UAVs, automated feature extraction, and geocloud services, to deliver land recording services that are end-user responsive, market driven, and fit-for-purpose. The transdisciplinary work also develops supportive models for governance, capacity development, and business capitalization. Gender sensitive analysis and design is also incorporated. Set in the East African development hotbeds of Rwanda, Kenya, and Ethiopia, its4land falls within TRL 5-7: 3 major phases host 8 work packages that enable contextualization, design, and eventual land sector transformation. In line with Living Labs thinking, localized pilots and demonstrations are embedded in the design process. The experienced consortium is multi-sectorial, multi-national, and multidisciplinary. It includes SMEs and researchers from 3 EU countries and 3 East African countries: the necessary complementary skills and expertise is delivered. Responses to the range of barriers are prepared: strong networks across East Africa are key in mitigation. The tailored project management plan ensures clear milestones and deliverables, and supports result dissemination and exploitation: specific work packages and roles focus on the latter.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2015-ETN | Award Amount: 3.86M | Year: 2016

European societies face rapid social changes, challenges and benefits, which can be studied with traditional tools of analysis, but with serious limitations. This rapid transformation covers changes in family forms, fertility, the decline of mortality and increase of longevity, and periods of economic and social instability. Owing to population ageing across Europe, countries are now the experiencing the impact of these rapid changes on the sustainability of their welfare systems. At the same time, the use of the space and residential mobility has become a key topic, with migrations within the EU countries and from outside Europe being at the center of the political agenda. Over the past decade research teams across Europe have been involved in the development and construction of longitudinal population registers and large research databases, while opening up avenues for new linkages between different data sources (ie administrative and health data) making possible to gain an understanding of these fast societal transformations. However, in order to work with these types of datasets requires advanced skills in both data management and statistical techniques. LONGPOP aims to create network to utilize these different research teams to share experiences, construct joint research, create a training track for specialist in the field and increase the number of users of these large possibly underused - databases, making more scientists and stakeholders aware of the richness in the databases.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.4.1-4 | Award Amount: 4.08M | Year: 2014

The threat of mass casualty incidents or medical surges to healthcare systems has always been present. Preparing essential parts of the healthcare system such as hospitals and their partners to prevent, respond, and rapidly recover from these threats is critical for protecting and securing the entire health infrastructure. Large-scale disaster situations causing mass casualty incidents are characterised by large numbers of same-type injuries which require immediate and simultaneous medical intervention and means of support such as ambulances, surgeries, specialists, diagnostic equipment and others. These characteristics underline the need for enhanced communication between medical institutions and other organisations involved in disaster management. At the same time, the surge of demand for services to patients points to the need for better organisation within hospitals concerning the deployment of specialists and the availability of medical supplies, transportation, rooms and equipment. While a variety of incidents may necessitate an emergency response, different types of such incidents (natural disasters, explosions, humanitarian crises and others) mean a different framework for responders. While health responders are ubiquitous in their involvement with the response to an emergency situation, the parameters regarding how they are involved greatly differ with the type of threat represented. The COncORDE project will develop a Decision Support System (DSS) to improve preparedness and interoperability of medical services during an emergency which affects the health of the population at local, regional or cross-border level. The project will incorporate existing operational assets related to security, trust and infrastructure and leverage them within the DSS.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.7.6-1 | Award Amount: 1.90M | Year: 2014

The SAFECITI project proposes the creation of a simulation system for Police intelligence analysts to predict the behavior of crowds in urban environments under specific threats or stresses (turmoil, violence, panic, catastrophes or terrorism) in order to train and develop better safety plans, and tactic operations. This platform will be designed both as a simulation platform for training purposes and as a predictive tool for operational use. The platform will also include performance measurement tools based on safety goals (people and infrastructure damage) to measure the skills of the analyst. All the simulations will be stored in a database for further analysis, creating a large set of data that can be exploited. The database will work as an historic repository, but more interestingly, as a large set of useful data that will be re-analyzed by artificial intelligence algorithms to create predictive models. The main goal of this predictive model will be the creation of a virtual analyst that is able to recommend actions based on the enriched analysis of hundreds or thousands of simulations. This project aims not only to improve the training methodologies and performance measurement of the analysts, but to create a new profile for new generation analysts that will get trained in a first stage and will operate the system later along their whole operational life, helping to enrich the system with new simulations and validation cases. These new analysts will be able to project new operational plans in advance by simulating what-if cases in complex scenarios, and anticipating threats. The Consortium is an outstanding example of multi-sector collaboration between research excellence institutions, large corporation, end user and SMEs from five European Countries. Three SMEs are involved, one large corporation, one University and an end-user (Spanish National Police). All of them play a relevant role in the project. The Coordinator is Next Limit Technologies (SME).


Patent
Osaka University and Esri | Date: 2016-02-29

The present invention provides a method for purifying organic chemical-containing contaminated substances by which various organic chemicals (contaminants) can be readily and sufficiently decomposed in a short time, the method comprising the steps of adding a metal salt and a transition metal ionic compound to water or soil that contains organic chemicals, decomposing the organic chemicals by irradiating with light, and separating/collecting the detoxified organic chemicals.


Patent
Esri | Date: 2016-03-17

Certain embodiments include a computer-implemented method that includes receiving image data corresponding to a three-dimensional (3D) parametric model, receiving a selection of a scope of the 3D model, receiving a selection of one or more base lines for the scope, determining a slip type for the scope, calculating planes of the scope, calculating candidate dimension lines, selecting a dimension line of the candidate dimension lines based on dimension line placement rules, and displaying the selected dimension line adjacent to the scope that correspond to the selected one or more base lines. The calculated planes of the scope can be based on the one or more base lines and the slip type. The calculated candidate lines can be based on the calculated planes and dimension line placement guidelines.


Patent
Esri | Date: 2016-02-24

A method is provided for setting, by a processor, a minimum and maximum symbol size for rendering at different zoom levels on a digital map. In another embodiment of the invention, the size of overlay features, such as line widths, received by a processor is automatically adjusted for different zoom levels depending on the average size of map features, such as polygons. In one example, line widths are decreased, and/or made partially transparent, as the map views are zoomed out, finally being altogether eliminated. In one embodiment, the system automatically analyzes received data to determine an appropriate way to map the data.


Patent
Esri | Date: 2016-07-18

Embodiments of the present invention provide a geoevent processor with the ability to enable real-time GIS (Geographic Information System). The geoevent processor has connectors that enable ingesting real-time data from a wide variety of sources. Those can include social media, in-vehicle GPS devices, military formats, and many more. Once connected, the geoevent processor provides the ability to perform continuous analysis and processing as the data is received. A spatiotemporal database is used to store real time observational data by location and time.


Patent
Esri | Date: 2015-03-02

Embodiments of the invention relate to an image or raster compression method that includes receiving pixel data for a raster comprising a two dimensional (2D) array of pixels where each pixel is associated with a data value. The method further includes receiving a user defined parameter defining a maximum error allowable per pixel for a compression algorithm. The raster can be divided into a number of pixel blocks where each pixel can be quantized and bit stuffed based on a number of block statistics including the maximum error allowable. The method further includes executing the compression algorithm wherein for each pixel, where an error caused by the compression algorithm is equal to or less than the maximum error allowable, and encoding the pixel data based on the compression algorithm. In certain embodiments, the compression algorithm is a non-transform compression algorithm.

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