Author: William H. DashiellPublisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages :
Book Description
Spatial Data Transfer Standard (SDTS) Topological Vector Profile (TVP) Validation Procedures
Author: William H. DashiellPublisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages :
Book Description
Model for Test Method Executive Control Committee (TMECC) Organization and Procedures
Author: William H. DashiellPublisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages :
Book Description
Monthly Catalog of United States Government Publications
Author: Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1076
Book Description
Publications of the National Institute of Standards and Technology ... Catalog
Author: National Institute of Standards and Technology (U.S.)Publisher:
ISBN:
Category :
Languages : en
Pages : 1162
Book Description
Federal Register
Author: GIS/LIS Proceedings
Author: American Congress on Surveying and MappingPublisher: American Society for Photogrammetry & Remote Sensing
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 476
Book Description
Cartography and Geographic Information Systems
Author: Archiving 2009
Author: ERDAS Field Guide
Author: Publisher:
ISBN: 9781553957652
Category : ERDAS Imagine (Computer program)
Languages : en
Pages : 658
Book Description
This book is designed for a widely diverse audience, from those new to geoprocessing to veteran industry users. For newcomers, the Guide "provides a brief history of the field, an extensive glossary of terms, and notes about applications for the different processes described." For more experienced users, the Guide "includes the formulas and algorithms that are used in the code," so that exactly how each operation works can be readily seen. -- from Introduction.
Seamless R and C++ Integration with Rcpp
Author: Dirk EddelbuettelPublisher: Springer Science & Business Media
ISBN: 146146868X
Category : Computers
Languages : en
Pages : 236
Book Description
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management "Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark "Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++. Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.