A Scientific Research and Development Firm

Software Development, Analytics & Remote Sensing
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SOFTWARE DEVELOPMENT

We develop apps, software, analytic programs and more. We have several apps and softwares developed for different companies.  Learn more about past projects and on going projects we have.

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ANALYTICS

Ohio Analytics is assembling the pieces of a highly granular, statewide, longitudinal database with a GIS interface and services to match.

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REMOTE SENSING

As the availability of multi- and hyperspectral high resolution space imagery grows, the opportunities for developing more sophisticated statistical models capable of discriminating among objects and life-forms on or near the earth's surface improve.

Software Development

Using the latest development tools for mobile, desktop and web applications, designers and engineers in Senecio's AskAnywhere Software division are working on global survey applications, intuitive and easy-to-use mobile statistical tools and population projection apps for education and work.

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Ohio Analytics©

Political scientists, consultants, campaign staffers and candidates all rely to varying degrees on demographics, political polling, voting records, walking lists, maps, the wisdom and experience of their local political elders and sometimes on little more than "common knowledge."

 

As experience shows, there are many candidates and campaign staffs lacking access to good resources.

 

Candidates at both the local and state level often find themselves on their own, flying blind. Even well funded campaigns can be missing the political intelligence needed to run a successful campaign in a tight race. 

 

Ohio Analytics is assembling the pieces of a highly granular, statewide, longitudinal database with a GIS interface and services to match.

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Remote Sensing

The potential of using high resolution spectral data for detecting either geobiological phenomena or features in the urban landscape has grown dramatically in just the last few years.

 

As the availability of multi- and hyperspectral high resolution space imagery grows, the opportunities for developing more sophisticated statistical models capable of discriminating among objects and life-forms on or near the earth's surface improve.

The WorldView-2 satellite 50cm resolution image of coastal waters illustrates the clarity of output from high resolution satellites. Distinguishing one boat from another, for instance, is straightforward.  Less than a decade ago, with only Landsat's moderate resolution (30m) imagery available, scientists were hard pressed to visually discriminate among objects smaller than 100 ft across. With advancements in satellite optics that same task, as shown, is easily achieved today.  

 

Furthermore, as satellites add spectral sensors - going from 4 or 8 bands to 29, as in the case of the WorldView-3 satellite - huge amounts of important new data are generated and the opportunities for developing statistical models to detect and distinguish among life-forms or objects in an urban landscape correspondingly improve. 

 

Two projects are underway by those working in Senecio's Remote Estimates branch. The first venture seeks a solution to the problem of locating abandoned and long forgotten oil and gas wells. This is especially a problem in oil boom areas of 100 years ago when the locations of the majority of wells were not carefully logged. In the second project, preliminary analysis using Landsat-7 output suggests it may be possible to develop statistical models capable of detecting biological toxins in desert soils. Work on this project will begin with ground-truthing conducted in the Sonoran desert over the next few years with simultaneous statistical modeling completed using Landsat-8 sensor data.

 
 

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