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    Innovative services & solutions, professionally delivered by a team of capable and diversely experienced people.

    We are Johnson Engineering Consultants. With nearly 50 years of municipal, environmental, natural resources and industrial safety knowledge, we are not just another IT consultant. Our edge is a solid understanding of YOUR project and therefore the ability to conceptualize and implement a database / GIS solution that best fits YOUR needs.

    Geographical Information Systems (GIS): are organized collections of computer hardware, software, geographic data, and personnel designed to efficiently capture, store, update, manipulate, analyze and display all forms of geographically referenced information. GIS is being used by many researchers in the environmental field to view a number of different indicators simultaneously as data layers on a geographic grid. By associating data of all kinds with points on a map, GIS can illustrate patterns and trends that might otherwise be incomprehensive.

    Database and Geographical Information System applications are tools that can be customized to help you meet and exceed your goals. Contact JEC today & we will show you how.

    Past projects include:

    • enterprise database application design for drinking water quality control

    • design, enhancement and implementation of several spatial (GIS) databases

    • multi-user applications to warehouse discrete and time-series data

    • applications to track on-site sewage systems in Canadas capital region

    • tools to track agricultural research projects

    • environmental data acquisition and processing

    • municipal GIS implementation and data conversion

    • electronic process control systems

    • surface water quality mapping and analysis

    • mathematical modeling of environmental BMPs (wetlands, filter strips, drains)

    • design and management of extensive data collection campaigns

    • establishing protocol for deployment / retrieval of field monitoring equipment

    • writing analysis routines to detect data anomalies and entry errors

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    Last Modified: Tuesday July 12, 2005
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