|
Computer Benchmarking for Machine Learning
Machine learning is potentially useful for modeling complex environmental phenomena from
large data sets, but machine learning may be computationally intensive. This project considers
possible computational efficiencies. .
more...
|
|
Lidar Canopy Maps
High resolution maps giving the volume of vegetation
more...
|
|
Advanced GIS-Based Field Mapping Techniques for Multi-Disciplinary Research
While technologies like satellite imagery and LIDAR have improved regional data collection, many USGS
field researchers rely on sketches and manual paper map corrections. Emerging information technologies offer
the potential to modernize field data collection. This project focuses on identifying opportunities for mobile
computing technology in USGS research.
more...
|
|
Cost-Benefit Analysis of The National Map
In 2003, the USGS Geography Discipline conducted a cost-benefit analysis of its new
program, The National Map. The analysis team simulated the benefits to society
from increased use of the improved digital spatial data provided by The
National Map and weighed those benefits against the cost to develop and
implement it. Several different reports and articles describe the research,
modeling, and results of this cost-benefit analysis project.
more...
|
|
Dasymetric Mapping Techniques For The San Francisco Bay Region, California
Demographic data are commonly represented by using a choropleth map, which aggregates
the data to arbitrary areal units, causing inaccuracies associated with spatial analysis
and distribution. more...
|