What is this all about?

I am an archaeologist whose research focuses on prehistoric archaeology, currently on the Neolithic of northern Central Europe / South Scandinavia. I received my PhD from Kiel University within the Graduate School ‘Human Development in Landscape’ in 2011. Until 2016 I was Assistent Coordinator at the DFG Priority Programme 1400 ‘Early Monumentality and Social Differentiation’. Since then I am working as postdoc in the Project F1 of the CRC1266 “Scales of Transformation”.

I regard quantitative methods as essential for archaeological research. That is why they represent a substantial aspect of my toolkit. This includes statistical analysis, spatial technologies (including GIS and spatial statistics), and dynamic modeling. You may find some screencasts and other posts regarding statistical method on this website.

One other main aspect is Open Data. I am leading developer of RADON and RADON-B, which are among the largest repositories for 14C data for archaeology.

I hope you may find some material of my website informative and that it probably may help with your own work.

Latest Blog Post

  • 14C Calibration the Bayesian way

    Appetizer

    With what follows I want to demonstrate that the basic functionality of Oxcal is reflected in this tiny bit of code:

    calf<-approxfun(intcal13[,1],intcal13[,2])
    
    likelihood <- function(proposal){dnorm(calf(proposal),bp,std)}
    
    #Setup
    collector <- bp <- 3600; std <- 30; last_prob <- likelihood(bp)
    
    for (i in 1:10000) {
      proposal <- rnorm(1, tail(collector,1), 3*std)
      proposal_prob <- likelihood(proposal)
      
      if ((proposal_prob/last_prob) > runif(1))
      {
        last_prob <- proposal_prob
      } else {
        proposal <- tail(collector,1)
      }
      
      collector <- c(collector, proposal)
    }
    
  • 14C Calibration 1

    Calibration of 14C dates is one of the more common tasks an archaeologists has to do. I will not go into the details of the details why calibration is necessary here (maybe in another post), but I want to give in this post and in some follow ups hands on instruction how a calibration can be archieved using R. This series will be published also at the ISAAKiel-Repository.

  • Blog Entry Number One

    To get my new website finally online, I want to add something to the blog section. Here in the future mostly stuff should be published that is related to archaeology and statistics using R.

    To start I want to add a bit that helps to understand the relationship of several items within a collection of data. To be more specific, how can I explore the correlation of lets say pottery types or in this case animal species in the archaeological remains of different sites. Do specific combination occure regularily, so that it might be the case that they are functional related?

Find more at the blog section

Latest Screencasts

  • Overfitting 3

    Das vierte Video zeigt, wie man mittels k-fold und bootstrapping Modellselektion betreiben kann, um Overfitting zu vermeiden.

  • Overfitting 2

    Video Nr. 3 beschäftigt sich mit dem Scripten eines Overfitting-Tests und der graphischen Darstellung.

  • Overfitting 1

    Das nächste Video beschreibt das Phänomen des Overfittings, Gründe und Bedingtheiten, und wie man es erkennt.

Find more at the screencast section

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Martin Hinz

Martin Hinz

work:
Institut für Ur- und Frühgeschichte
Christian-Albrechts-Universität
Johanna-Mestorf-Straße 2-6
D - 24118 Kiel

martin.hinz@ufg.uni-kiel.de
http://www.ufg.uni-kiel.de/
+49 (0) 431 880 2335

private:
mail@martinhinz.info
http://www.martinhinz.info