As COP30 approaches, policymakers must ensure that the integration of climate and biodiversity action by non-state and subnational actors is anchored in spatial data. Otherwise, we cannot see where ...

Simultaneous profiling of spatial transcriptomics (ST) and spatial metabolomics (SM) on the same or adjacent tissue sections offers a revolutionary approach to decode tissue microenvironment and ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

In today’s digital economy, geospatial data is increasingly recognized as a high-value business asset rather than a supporting technical resource. Organizations across sectors — including ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Larotrectinib in Patients With Tumors With NTRK Fusions: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol EAY131-Z1E Advancements in profiling technologies have deepened our ...

We are in the geospatial era of warfare in which information derived from satellites is as strategically critical as territorial control. The progressive dissolution of the distinction between the ...

A key objective of data governance is to provide information to people with a legitimate need to know and to restrict it from those who do not. While the solution to effective data security is largely ...

At the end of January, the U.S. Department of the Interior announced the selection of Esri to modernize the Geospatial One-Stop (GOS) initiative, better known as Geodata.gov. Multiple vendors competed ...

As a master’s student in the Master of Science in Geospatial Engineering emphasis, discover the power of place. Gain in-depth, hands-on knowledge of remote-sensing technologies, which harvest ...

This article is authored by Agendra Kumar, managing director, Esri India.

“Data governance policy is a collection of principles, frameworks, programs, roles, and responsibilities that help manage data collection, storage, access, usage, quality, and archival of data assets ...