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Keyword: spatial analysis

Growth and survival before and after a mountain pine beetle outbreak in a ponderosa pine genetic trial

Datasets Posted on: March 15, 2018
This data package contains data used for the publication "An insect outbreak shifts the direction of selection from fast to slow growth rates in the long-lived conifer Pinus ponderosa" (de la Mata et al. 2017). The study includes measurements from 204 half-sibling families planted in a common garden experiment planted in 1974 and last measured in 2013.

An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management

Publications Posted on: September 19, 2017
During active fire incidents, decisions regarding where and how to safely and effectively deploy resources to meet management objectives are often made under rapidly evolving conditions, with limited time to assess management strategies or for development of backup plans if initial efforts prove unsuccessful.

Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS raster utility coding library

Publications Posted on: February 23, 2016
Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the raster modeling process by utilizing delayed reading methods.

Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS Raster Utility coding library

Publications Posted on: January 15, 2016
Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the raster modeling process by utilizing delayed reading methods.

Research on ferruginous hawks in Wyoming

Media Gallery Posted on: October 09, 2015
Over the past decade and a half, raptors nesting in prairie ecosystems have been subject to sharp increases in nearby energy development activity. From 2000 to 2006, the number of oil wells in Wyoming increased by 73 percent, and the number of natural gas wells by 318 percent. The management of avian species that depend on sage-steppe ecosystems is an important emerging issue across the western United States, in part due to this increased energy development.

Response of nesting ferruginous hawks to energy development

Science Spotlights Posted on: May 20, 2015
Over the past decade and a half, raptors nesting in prairie ecosystems have been subject to sharp increases in nearby energy development activity. This research documents how nesting ferruginous hawks forage in oil and gas energy fields based on GPS telemetry. The purpose is to help managers and companies reflect conservation needs of this species in the management and arrangement of energy-development infrastructure.   

The RMRS Raster Utility: Tools for spatial and statistical analysis in GIS

Projects Posted on: May 08, 2015
The RMRS Raster Utility is an object oriented coding library that facilitates a wide range of spatial and statistical analyses using novel statistical methods in a newly developed Function Modeling framework. This work includes: New tools for spatial and statistical analysis Readily available, easy to use, free, GIS software add-in Website describing software functionality and applications Code repository for others to integrate into their work Tu​torials and sample analyses  

Improved analyses using function datasets and statistical modeling

Publications Posted on: August 27, 2014
Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space and have limited statistical functionality and machine learning algorithms. To address this issue, we developed a new modeling framework using C# and ArcObjects and integrated that framework with .Net numeric libraries.

Spatial modeling of potential woody biomass flow

Publications Posted on: September 26, 2013
The flow of woody biomass to end users is determined by economic factors, especially the amount available across a landscape and delivery costs of bioenergy facilities. The objective of this study develop methodology to quantify landscape-level stocks and potential biomass flows using the currently available spatial database road network analysis tool.

Function modeling: improved raster analysis through delayed reading and function raster datasets

Publications Posted on: September 26, 2013
Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the raster modeling process by utilizing lazy reading methodologies.

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