Building a soil spectral library for Tajikistan comparing local and global modeling approaches

Over the last ~20 years, soil spectral libraries storing near-infrared reflectance (NIR) spectra from diverse soil samples have been built for many places, since almost 10 years also for Tajikistan. Many calibration approaches have been reported and used for prediction from large and heterogeneous libraries, but most are hampered by the high diversity of the soils, where the mineral background is heavily influencing spectral features. In such cases, local learning strategies have the advantage of building locally adapted calibrations, which can deal better with nonlinearities. Therefore, it was our major aim to identify the most efficient approach to develop an accurate and stable locally weigthed calibration model using a spectral library compiled over the past years. Keywords: Tajikistan, Near-Infrared spectroscopy (NIRS), soil organic carbon, locally weighted regression, regional and local spectral library.

Friends of the library groups in health sciences libraries.

The Houston Academy of Medicine--Texas Medical Center (HAM--TMC) Library collected data on friends of the library groups from 103 health sciences libraries, using a mail questionnaire. Sixteen of the responding libraries had independent friends groups; seven had friends groups that were subordinate to a university group. The sixteen independent groups gave as their major purposes (1) to raise money for their associated library and (2) to develop support for their library. These groups contributed an average of $4,870 a year to their libraries, the money being used primarily to purchase rare books and working-collection books and to sponsor social events. The subordinate groups contributed relatively little money to the health sciences libraries responding to the survey.