Part 4 of  a 7 part series exploring GIS and Artificial Intelligence

Welcome to part 4 of my AI and GeoAI Series that will cover the more technical aspects of GeoAI and ArcGIS. Previously, part 1 of this series covered the Future Impacts of AI on Mapping and Modernization which introduced the concept of GeoAI and why you should care about having an AI as a future coworker. Part 2 of the series, GIS, Artificial Intelligence, and Automation in the Workplace covered specific geospatial professions that will be drastically effected by introduction of GeoAI technology in the workplace. Part 3 addressed Teaming with the Machine - AI in the workplace the emergence of the new geospatial working relationship between information, humans, and artificial intelligence to be successful in an organizations mission.

Part 3 of  a 7 part series exploring GIS and Artificial Intelligence

As part of a seven-part blog, we originally covered the introduction of automation, AI, and new technologies into the workplace. These new technologies are helping workers to free work time so that workers can focus on creativity, reducing mundane tasks, and solving complex problems in the workplace.

Part 2 of  a 7 part series exploring GIS and Artificial Intelligence

Many professions are being impacted by the introduction of Artificial Intelligence (AI) in the workplace. Future employment and career choices will be forever changed by how susceptible they are to automation and computerization.

Read More

National Mapping Agency Learn Paths are now live!

Explore our new series of learning pathways and lessons designed to guide you through the process of national mapping strategies and technologies. These 6 pathways were created to address the fundamental workflows of a national mapping agency: data collection, management, production and analysis, and collaboration.

Pathway 1: Pathway to Success
Pathway 2: Collection

Pathway 3: Management 

Pathway 4: Production Analysis

Pathway 5: Sharing and Collaboration
Pathway 6: National GIS

Part 1 of  a 7 part series exploring GIS and Artificial Intelligence

We are now living in an age where technology is the backbone of successful mapping organizations. By embracing technology all parts of the workplace have become more productive when working on projects. Geospatial organizations have continuously improved upon production and analysis processes by introducing automation and new technologies to the workforce.

Ordnance Survey Ireland (OSi), the national mapping agency of Ireland, has undergone a digital transformation that includes great efficiency gains in mapmaking processes, and the creation of a one-stop shop called GeoHive to collect and serve the government’s spatial data across departments. These changes now form a backbone of capability to take mapping to a whole new level.

Key takeaways from this article: 

• Open data adds transparency and enables interactions.
• Location data underpins key government objectives.
• Linking initiatives through location pins hope around plans.

Read the Full Article Here

This is the second in a three-part series on Ordnance Survey Ireland’s map modernization efforts.

Improved data sharing leads to cost savings and better decisions across government with a greater sense of place for citizens.

National mapping agencies, like many other industries, have seen impacts from the disruption of the internet. The many changes in information flow have caused a complete rethink about what they do and how they do it.

Key takeaways from this article:

• Open data leads to increased citizen interaction and improved government collaboration.
• Online mapping educates the public about how spatial is special, while allowing them to create custom maps.
• Freely available data encourages new investments in Ireland.

Read the Full Article Here

First in a three-part series on Ordnance Survey Ireland’s map modernization efforts.

Isn’t data just data?

Once you start asking questions of your data, it doesn’t take long to realize when key details are missing. The location data that underpins mapmaking is of limited use if it only indicates where something is (its address, coordinates, or place-name). It gains intelligence if attributes are added to describe the what and why.

Key takeaways from this article: 

• The value of spatial data exceeds the value of a paper map.
• Intelligent data adds insight, overcoming uncertainty.
• Digital workflows produce compounding benefits.

Read the Full Article Here

Office Increases Efficiency and Data Quality with Custom Mobile Data Collection, Data Management, and Reporting Tools

The Oregon/Washington Bureau of Land Management (BLM) manages approximately 14 million acres of rangeland and administers over 2,000 grazing allotments. To fulfill this obligation, it employs more than 50 full-time staff in numerous district and field offices. These individuals share a commitment to a common mission: ensuring the health and productivity of public rangelands for the use and enjoyment of current and future generations.

Read the Full Story

The state of Queensland, in northeastern Australia, is remarkably geographically diverse. It includes coastal rain forests, widespread eucalypt and acacia woodlands, tropical savannas, ephemeral inland rivers, deserts, and rich agricultural belts. With an area of 1,730,000 square kilometers (668,000 square miles), it is approximately seven times the size of Great Britain.

To map and assess land-use patterns and changes throughout the state, Queensland’s Department of Environment and

Science (DES) formed the Queensland Land Use Mapping Program (QLUMP) more than 20 years ago.

Read More