P-ISSN 0048-749X
E-ISSN 1553-0892
Vol. 35, Issue 2, 2005July 13, 2005 CDT
Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling
Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling
Articles in Vol. 35, Issue 2, 2005
Vol. 35, Issue 2, 2005
- Which Matters Most to the Estimation of Efficiency and Productivity Growth in State Manufacturing: Method or Measurement?Diane F. PrimontBruce R. Domazlicky
- A Dynamic Integration Approach in Regional Input-Output and Econometric ModelsBahman Brian Motii
- The Impact of Petroleum Product Prices on State Economic Conditions: An Analysis of the Economic BaseChristopher S. DeckerMark E. Wohar
- Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation ModelingJill L. Caviglia-HarrisDaniel W. Harris
- R&D Investments and the Spatial Dimension: Evidence from Firm Level DataLuisito BertinelliRosella Nicolini
- Do Geographic Entry Restrictions Increase Car Prices?Michael L. Walden
Caviglia-Harris, Jill L., and Daniel W. Harris. 2005. “Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling.” Review of Regional Studies 35 (2): 187–205. https://doi.org/10.52324/001c.8341.