LEADER 00000cam a2200781Ia 4500 001 ocn231623423 003 OCoLC 005 20160527041213.7 006 m o d 007 cr cnu---unuuu 008 080610s2007 ne ab ob 000 0 eng d 019 437106811|a476250600|a647791789|a666911745|a764511303 |a781253609|a815550783 020 9781435645790|q(electronic book) 020 1435645790|q(electronic book) 020 9789048502097|q(electronic book) 020 9048502098|q(electronic book) 020 1281191264 020 9781281191267 020 |z9789087280079|q(paperback) 020 |z9087280076|q(paperback) 035 (OCoLC)231623423|z(OCoLC)437106811|z(OCoLC)476250600 |z(OCoLC)647791789|z(OCoLC)666911745|z(OCoLC)764511303 |z(OCoLC)781253609|z(OCoLC)815550783 040 N$T|beng|epn|cN$T|dOCLCQ|dMERUC|dEBLCP|dE7B|dIDEBK|dOCLCQ |dTUU|dOCLCQ|dOCLCO|dCOO|dYDXCP|dNKT|dOCLCQ|dAU@|dOCLCQ 041 0 eng|bdut 049 RIDW 050 4 CC76.3|b.V47 2007eb 072 7 SOC|x003000|2bisacsh 072 7 HD|2bicssc 082 04 930.1028|222 090 CC76.3|b.V47 2007eb 100 1 Verhagen, Philip,|d1966-|0https://id.loc.gov/authorities/ names/nb2007023256 245 10 Case studies in archaeological predictive modelling / |cPhilip Verhagen]. 246 3 Case studies in archaeological predictive modeling 264 1 [Leiden] :|bLeiden University Press,|c[2007] 264 4 |c©2007 300 1 online resource (223 pages) :|billustrations, maps. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 490 1 Archaeological studies Leiden University ;|v14 490 1 LUP dissertations 500 Originally presented as the author's thesis (doctoral)-- Universiteit Leiden, 2007. 504 Includes bibliographical references. 505 0 Table of Contents; Preface; Ch. 1: A Condensed History of Predictive Modelling in Archaeology; Part 1: Practical Applications; Ch. 2: The use of Predictive Modelling for Guiding the Archaeological Survey of Roman Pottery Kilns in the Argonne Region; Ch. 3: The hidden reserve. Predictive modelling of buried archaeological sites in the Tricastin-Valdaine region; Ch. 4: Quantifying the Qualified: the Use of Multicriteria Methods and Bayesian Statistics for the Development of Archaeological Predictive Models; Part 2: Archaeological Prospection, Sampling and Predictive Modelling. 520 Dutch archaeology has experienced profound changes in recent years. This has led to an increasing use of archaeological predictive modelling, a technique that uses information about the location of known early human settlements to predict where additional. 546 Summary in Dutch. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Archaeological site location|0https://id.loc.gov/ authorities/subjects/sh2004001262|vCase studies.|0https:// id.loc.gov/authorities/subjects/sh99001484 650 0 Archaeological site location|0https://id.loc.gov/ authorities/subjects/sh2004001262|xMethodology.|0https:// id.loc.gov/authorities/subjects/sh99001902 650 0 Archaeology|xMethodology.|0https://id.loc.gov/authorities/ subjects/sh85006509 650 7 Archaeological site location.|2fast|0https:// id.worldcat.org/fast/1201796 650 7 Methodology.|2fast|0https://id.worldcat.org/fast/1018722 650 7 Archaeology|xMethodology.|2fast|0https://id.worldcat.org/ fast/812969 655 4 Electronic books. 655 7 Case studies.|2fast|0https://id.worldcat.org/fast/1423765 655 7 Case studies.|2lcgft|0https://id.loc.gov/authorities/ genreForms/gf2017026140 776 08 |iPrint version:|aVerhagen, Philip, 1966-|tCase studies in archaeological predictive modelling [sic.|d[Leiden] : Leiden University Press, ©2007|z9789087280079|z9087280076 |w(OCoLC)212626252 830 0 Archaeological studies Leiden University ;|0https:// id.loc.gov/authorities/names/n2002108799|v14. 830 0 LUP dissertations.|0https://id.loc.gov/authorities/names/ no2008033492 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=191782|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d201606016|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID