The COVID-19 pandemic is seeing the worldwide GIS community come together to create information products, dashboards, hubs and apps to drive understanding and response. Three new capabilities (ArcGIS Pro Time Series Forecasting, ArcGIS Indoors for Facility Mapping, and Community Contact Tracing) and approaches can help better manage response to the crisis and move forward. Learn how we can build resilient communities and interconnected societies by using location intelligence for any crisis and throughout all phases of the crisis management process.
ArcGIS Time Series Forecasting: Forecasts are important to better respond to COVID-19. The new Time Series Forecasting toolset in ArcGIS Pro 2.6 allows organizations to model patterns and trends in time-series data, using both traditional and machine learning approaches. Learn how the tools can evaluate which model and curve type works best by locations to see variations across geography.
ArcGIS Indoors: With ArcGIS Indoors, organizations can develop plans for a safe return of their workforce to office space – taking into account social distancing guidelines. The new Space Planner for ArcGIS Indoors allows organizations to create multiple plans, such as alternating days to minimize the amount of staff in the office at any one time. Space Planner also gives organizations the ability to administer the Office Hotel seating concept. Learn how ArcGIS Indoors allows users to locate people and places, get indoor directions, submit and manage geotagged service requests – both in Enterprise and now in ArcGIS Online.
Community Contact Tracing: By leveraging spatial data and analyzing patterns with the capabilities in ArcGIS Pro 2.6, public health officials and other local organizations can streamline the contact tracing process to mitigate the spread in local communities. Link charts help you to see clear connections of person-to-person-to-place – providing a location-based approach to contact tracing. Out-of-the-box tools in ArcGIS Pro 2.6 allow you to dig deeper into your local data to find anomalies, see commonalities, and trace to a location for response.
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