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- ArcGIS Geostatistical Analyst-vs-GEOVIA Surpac
Compare ArcGIS Geostatistical Analyst and GEOVIA Surpac 
- Users report that GEOVIA Surpac excels in its geological modeling capabilities, particularly with its "block modeling" feature, which allows for detailed resource estimation. In contrast, reviewers mention that ArcGIS Geostatistical Analyst shines in its "kriging" functionality, providing advanced statistical analysis for spatial data.
- Reviewers say that GEOVIA Surpac has a slightly steeper learning curve, with an ease of use score of 8.3, while users on G2 highlight that ArcGIS Geostatistical Analyst is more user-friendly, reflected in its higher ease of use score of 8.8.
- G2 users mention that the quality of support for GEOVIA Surpac is rated at 8.0, which some users find lacking in responsiveness, whereas ArcGIS Geostatistical Analyst receives a better score of 8.6, with reviewers noting prompt and helpful customer service.
- Users say that GEOVIA Surpac's product direction is rated at 8.5, indicating a solid roadmap for future updates, but some reviewers express concerns about the pace of innovation. In contrast, ArcGIS Geostatistical Analyst has a higher product direction score of 9.0, with users praising its regular updates and feature enhancements.
- Reviewers mention that GEOVIA Surpac is particularly strong in the mining sector, with features tailored for resource modeling, while users report that ArcGIS Geostatistical Analyst is more versatile, catering to a broader range of industries including environmental science and urban planning.
- Users on G2 highlight that GEOVIA Surpac has a total of 21 reviews, indicating a larger user base, which may contribute to a more robust community for support and shared resources, while ArcGIS Geostatistical Analyst, with 14 reviews, is noted for its specialized focus and dedicated user community.
Advanced mathematical functions for modelling even in a non-geo evironment.
Its hard to run iterating calculations using point and click interface of the analyst. Coding through python API is essential. Finding correct tool in the spatial analyst is difficult too.
Surpac is best use for mining. From coordinates you can create a block model which can feature the ideal and exact face of what your model is. I will highly recommed this and request for trainings to enhance more insights about surpac
The CAD/drafting in surpac is below average. And ctrl z shortcut doesn't work. And most of the shortcuts are too long
Advanced mathematical functions for modelling even in a non-geo evironment.
Surpac is best use for mining. From coordinates you can create a block model which can feature the ideal and exact face of what your model is. I will highly recommed this and request for trainings to enhance more insights about surpac
Its hard to run iterating calculations using point and click interface of the analyst. Coding through python API is essential. Finding correct tool in the spatial analyst is difficult too.
The CAD/drafting in surpac is below average. And ctrl z shortcut doesn't work. And most of the shortcuts are too long
