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Frequently the Remsoft Spatial Planning System is used as part of scientific and academic research and the results published either in academic journals or presented at conferences.
Here we've compiled this research - written by Remsoft staff and others using the System - as a resource to help users and prospective users better understand the technology and the underlying science of the software and its place in forest modeling and resource management.
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Understanding the time selector
How Spatial Woodstock updates inventory outputs and yields on the map
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Managing network licenses
Monitoring license use and suppressing license checks
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Under The Hood
This is the session that we unfortunately could not present due to the wind and power outages at the end of the day
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Yields and DLLs
Ugo gets technical on the value and application of DLL’s
Click here to view
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New and Future Features
Ugo and Andrew team up to show you what’s new and upcoming
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Refining sustained yield calculation: Modelling processes to address social and production issues on State forest in Tasmania.
D.I Riddell and M.I. McLarin. Presented at the Joint Australian and New Zealand Institute of Forestry Conference (ANZIF). Queenstown, New Zealand. April, 2003.
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Design and Development of a Spatial Fire Simulator- Remsoft Spatial Planning System
Many of you know we are working on a fire spread simulator for the Remsoft spatial Planning System. This article lays out the basic underpinnings. Please have a look at the article, and drop us an email and let us know what you think.
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Spatial Forest Planning: Where did all the wood go?
K. Walters & A. Cogswell. Presented at the INFORMS Annual Conference. San Jose, California. November 25, 2002.
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Optimization Techniques
Andrew Cogswell discusses optimization techniques in this presentation from our Remsoft User Group in Melbourne, Australia, February 10, 2005.
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Visualizing Forest Structures: A case study
A. Cogswell, U. Feunekes. An evaluation of a non-spatial management approach for sustaining contiguous patches of mature forest. In: Proc. GIS' 2000. Toronto, ON. March, 2000.
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Stora Enso Predicts a 2.5% Savings
“We asked, ‘If we had made the decision and optimized the problems, how much money would we have saved?’” The answer was approximately 2.5 percent.”
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