This collaboration supports Esri and the geospatial community by providing users of Esri’s software with preloaded geospatial packages for use with Python. Geospatial analysts and data scientists can perform powerful new analyses using the rich ecosystem of tools within the Anaconda package repository while staying within their familiar ArcGIS environment. With over 25 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. They pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. With its pioneering commitment to geospatial information technology, Esri engineers the most innovative solutions for digital transformation, the Internet of Things and advanced analytics.
As noted by McKinsey in a recent article: “Although external data sources offer immense potential, they also present several practical challenges.“
To deliver maximum context, data experts must gain, verify, process data into the right format, and create references to the appropriate internal data. Insurers can share highly detailed post-weather event data, which enables claims teams to settle more claims with increased accuracy. They can also use the data to review and share recent past weather data within various territories. Once insurers have identified additional sources of external data, how do they ensure they are gaining joined-up insights?
For most organisations, adding additional location data to these addresses can be both valuable and profitable. From avoiding missed deliveries and service calls to plan routes between drop-offs and assessing the risks associated with a location, there are many reasons businesses may need to supplement their address data with location intelligence. Unique Property Reference Numbers are unique references given to address and non-address locations in the UK by the Ordnance Survey. As unique references, they can help organisations to build a trusted indexing system for all the addresses they hold. Whatever choices you make about location data will depend on the industry you are in, what logistical issues you face and what intelligence you want to derive from the world and your customers within it.
Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data will be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Advances in cloud-based location service are ushering in a new era of location intelligence by helping data engineers, analysts, and developers integrate location data into their existing infrastructure, build data pipelines, and reap insights more efficiently. Brands across industries are using cloud-native location data with other downstream cloud services.
The Streaming analytics industry is driven by increased digitalization and emerging technologies, such as big data, IoT, and AI to drive the market growth. Streaming analytics combines geospatial, graph, and business analytics into a single platform purpose-built for performance and scale. Various benefits, such as agility, scalability, and cost optimization features, are boosting the adoption of hybrid cloud analytics solutions in the global cloud analytics market. System integrators are also implementing streaming analytics software that enables better orientation in the complex building, providing streaming-based analytics and tracking functionalities. Streaming analytics enables companies to adopt the analytics of data streaming and sensor data from grids to provide real-time insights on operational performance.
Thousands of people took to the streets in cities across Europe, and all around the world to protest against Russia’s invasion of Ukraine. In Georgia, a country that was the victim of a Russian invasion in 2008, some 30,000 people turned out in the capital Tbilisi.
Onlookers at a devastated apartment block in Kyiv after an airstrike on February 25. The UN is concerned about the situation in Ukraine, and is receiving increasing reports of civilian casualties. Police detained persons during an anti-war protests in Moscow. Ukraine has already seen thousands of casualties from the long-running conflict with Russia. This conflict broke out in 2014 after Russian-backed rebels seized government buildings in towns and cities across eastern Ukraine. Unluckily, the current aggression of Russia against Ukraine will further aggravate this situation.
Read more @Medium: Thousands across Europe protest against the invasion
After a well-educated interior designer had unrolled an anti-war poster on Moscow’s Pushkin Square on Wednesday afternoon, the Moscow police showed up within minutes. He and the peaceful demonstrators condemn the use of Russian troops to invade Ukraine. Russian police arrested other peoples who had spoken out peacefully against the invasion. These peaceful protests stand in strong contrast to the public reaction in Russia when Moscow annexed Crimea from Ukraine eight years ago.
Russian residents protested for the second night in a row across the country. Russian citizens across the country took to the streets for the second night of nationwide protests against their country’s military assault on Ukraine. Thousands of Russians protested the Kremlin’s savage military assault in dozens of Russian cities, despite Russian authorities cracking down on demonstrations. The recorded news media of demonstrations from St. Petersburg showed hundreds of people assembled to call for peace in Ukraine.
Read more @Medium: Protests spot report 23–24 February 2022
Mapping the geospatial patterns of broadcasted news allows a geospatial analyst to gain insights into common and unusual geospatial patterns. We decided using one of the most comprehensive news collection named “Global Database Events of Tone and Language” (GDELT) as the ground truth.
Getting a coarse-grained geospatial overview of protests and demonstrations of the last 90 days. The geoprotests API offer ready-to-use geospatial features representing broadcasted news related to protests and demonstrations. You can use these geospatial features to build various mapping and geospatial applications.
Read more @Medium: Mapping the geospatial patterns of broadcasted news
Across Asia Pacific, many countries are learning to live with the coronavirus as borders are gradually being re-opened. Location data has the power to forecast demand, identify supply chain disruptions, and facilitate infrastructure planning, just to name a few. The need for location intelligence will thus become more prevalent as auto manufacturers seek greater supply chain efficiency, sustainability, and end-to-end visibility. It’s time to address the ‘where’ question. From the trends that I’ve outlined above, it’s clear that location intelligence is gaining ground in Asia Pacific. The author is Senior Vice President and General Manager Asia Pacific, HERE Technologies.
Members of the Center for Systems Integration and Sustainability will use $1 million to collaborate on a new NSF-funded national initiative to understand climate change and disaster risks and affects. A Michigan State University sustainability scholar and his colleagues are partners in a new $15 million national initiative to enable geospatial data-driven scientific discovery aimed at understanding the risks and affects of climate change and disasters. MSU’s role, funded at about $1 million, will be to apply the tele coupling framework to disentangle the complexity of globalization, climate change, and natural disasters. The new institute will bring together about 40 researchers from U of I, MSU, Columbia University, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Florida International University, Open Geospatial Consortium, Purdue University, University Consortium for Geographic Information Science, University Corporation for Atmospheric Research, University of Minnesota, Twin Cities, Utah State University, and a variety of other partners. NSF is investing $75 million to establish five new Harnessing the Data Revolution institutes as part of its “Big Idea” initiative.