Cartographers and Photogrammetrists
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Research, study, and prepare maps and other spatial data in digital or graphic form for one or more purposes, such as legal, social, political, educational, and design purposes. May work with Geographic Information Systems (GIS). May design and evaluate algorithms, data structures, and user interfaces for GIS and mapping systems. May collect, analyze, and interpret geographic information provided by geodetic surveys, aerial photographs, and satellite data.
The occupation "Cartographers and Photogrammetrists" has an automation risk of 56.3%, which is slightly lower than the base risk of 57.1%. This risk assessment indicates a moderate likelihood of automation, primarily driven by the nature of their tasks, many of which rely heavily on established procedures, computation, and data compilation. The base risk reflects the general vulnerability of this field to technological advancements, particularly with the increasing sophistication of geographic information systems (GIS), remote sensing technologies, and automated mapping software. As these tools evolve, they can handle many repetitive and analytical tasks that previously required substantial human intervention, thus increasing the automation risk in this occupation. The top three most automatable tasks for cartographers and photogrammetrists further highlight this susceptibility. Compiling data required for map preparation, such as aerial photographs and survey notes, can readily be automated through digital databases and remote sensing systems. Delineating photographic details, including topography and features, using stereoplotting apparatus or drafting instruments, is now commonly performed by advanced image-processing algorithms and machine learning models. Similarly, preparing and altering maps, charts, and three-dimensional models using computer graphics equipment can be efficiently executed by specialized software, reducing the need for manual intervention and increasing the rate at which such products can be produced. In contrast, the field retains some resistance to automation due to tasks that require human oversight, judgment, and adaptability. For instance, traveling over photographed areas to observe, identify, record, and verify all relevant features necessitates physical presence and nuanced interpretation that is difficult for machines to replicate. Selecting the appropriate remote sensing techniques and equipment, as well as determining guidelines for acceptable source material, involve complex decision-making and contextual awareness. These more resistant tasks are supported by bottleneck skills such as originality, albeit at a modest level (3.0%), highlighting the importance of creative problem-solving and expert assessment—areas where full automation remains challenging. Overall, while automation can streamline much of the technical process in this occupation, human expertise continues to play a critical role in ensuring the quality and applicability of cartographic outputs.