Zobrazeno 1 - 10
of 16
pro vyhledávání: '"David J. Cowen"'
Publikováno v:
Transactions in GIS. 17:41-61
Large, multivariate geographic datasets have been used to characterize geographic space with the help of spatial data mining tools. In our study, we explore the sufficiency of the Support Vector Machine (SVM), a popular machine-learning technique for
Publikováno v:
International Journal of Applied Geospatial Research. 1:1-15
Despite years of research and debate, household choice between public and private schools is not well understood. This article investigates factors associated with parental choice between public and private schools using unique census-based school en
Publikováno v:
Southeastern Geographer. 49:24-40
The geography of educational outcomes and school choice remains an under-researched area. This article investigates factors associated with the spatial aspects of academic achievement gap and explores the geographical inequalities of public school ch
Publikováno v:
Business History Review. 83:61-86
Most scholars know little about the panic of 1792, America's first financial market crash, during which securities prices dropped nearly 25 percent in two weeks. Treasury Secretary Alexander Hamilton adroitly intervened to stem the crisis, minimizing
Autor:
David J. Cowen
Publikováno v:
The Journal of Economic History. 60:1041-1060
In 1791 the $10 million capitalization of the First Bank of the United States was vastly greater than the combined capital of all other banks. The Bank had an enormous impact on the economy within two months of opening its doors for business by flood
Despite years of research and debate, household choice between public and private schools is not well understood. This article investigates factors associated with parental choice between public and private schools using unique census-based school en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731c445a09ff2363c7ebaf544fff0757
https://doi.org/10.4018/978-1-4666-0258-8.ch016
https://doi.org/10.4018/978-1-4666-0258-8.ch016
Publikováno v:
Geocarto International. 8:87-98
This research summarizes the use of remote sensor data and high resolution digital elevation models (DEMs) to predict the effect of sea level rise on the Fort Moultrie coastal region near Charleston, South Carolina. In situ and remotely sensed data w
Autor:
David J. Cowen
Publikováno v:
The Handbook of Geographic Information Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b1400c500e71920e22f0e1070994a9d
https://doi.org/10.1002/9780470690819.ch1
https://doi.org/10.1002/9780470690819.ch1
Autor:
David J. Cowen
Publikováno v:
The Journal of Economic History. 57:491-493