Advanced Estimation Procedures for Spatially Defined        Geotechnical Data
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'Barbara Weatherly', 'PO_EMAI': 'bweather@nsf.gov', 'PO_PHON': '7032927384'}
The research program develops sampling plans and strategies based on            statistical analysis to obtain geomechanic properties in a geologic             site and extends these estimates to cover the spatial regions of                importance to construction projects.  Improved statistical procedures           which include the maximum likelihood estimate of the autocovariance             functions will be investigated to determine their effectiveness in              predicting the spatial trends.  Site sampling plans will be                     investigated by using simulation and data from eight different case             studies.
{'FirstName': 'Gregory', 'LastName': 'Baecher', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gregory B Baecher', 'EmailAddress': 'gbaecher@eng.umd.edu', 'NSF_ID': '000468373', 'StartDate': '08/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1441', 'Text': 'MECHANICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8606242.xml'}