In this diagram, each table represents a gridded spatial coverage for a single variable. To make this a little more clear, here’s a diagram: The basic structure of a NetCDF file A NetCDF file (which stands for Network Common Data Form) is a multidimensional array, where each layer represents the spatial gridded distribution of a different variable or set of variables, and sets of grids can be stacked into time slices. NetCDF is one of the more notorious of these. Some government agency or environmental science department put together some brilliant time series GIS package and you want to find a way to import it into your model. But oftentimes the data may be in a format which isn’t readable by your modeling software, or takes some finagling to get the data in there. You found it: the holy grail of palaeoenvironmental datasets. This updated version makes use of the ncdf4 package, and fixes a few broken links while we’re at it. Full abstracts are not necessary.Īn older version of this tutorial used the now-deprecated ncdf package for R. Anyone interested in presenting are asked to submit a topic (1-2 sentences) and your estimated time to summarize it (5 or 10 minutes). However, this is an evaluation of our methods and theories and not meant to be as high level as past CAA sessions that have looked at grand challenges e.g. everything that is wrong with C14 dating, everything wrong with least cost path analysis in ArchGIS, everything wrong with post-prossussalism, etc. It can be about a very narrow topic or broad ranging e.g. This is open to any topic- GIS, 3D modelling, public engagement, databases, linked data, simulations, networks, etc. The floor will then be opened up to the audience to add more issues, refute the problems raised, or propose solutions. Ideally, at the end each participant would have laid out a map of the challenges facing their topic. Each participant will give a short (max 10 minutes but preference will be for 5 mins.) presentation in which they take one topic and critically analysis the problems surrounding it, both new and old. To break the mold of the typical conference session, in which we review what we have solved, and instead explore what needs to be solved. The goal of this session is to raise the issues we should be tackling. But, not degrading into self-pity and negativity, as it will be about critical reflection and possible solutions. Instead of the normal celebration of our success this session will be looking at our challenges. Equally, we invite case studies showcasing innovative new approaches to archaeological models and new techniques expanding the use of computational modeling techniques.Ībstract: This is a different kind of session. In this session we seek well-developed models that use data and theory from the anthropological and archaeological records to demonstrate the utility of computational modeling for understanding various aspects of human behavior. Rather, simulation and other types of formal modeling methods provide a way to interdigitate between archaeology/anthropology and computational approaches and between the data and theory, with each providing a feedback to the other. However, computational models are restricted by the limitations of the technique used, and are not a “silver bullet” solution for understanding the archaeological and anthropological record. Their utility in providing an experimental test-bed for examining how individual actions and decisions could influence the emergence of complex social and socio-environmental systems has fueled a spectacular increase in adoption of computational modeling techniques to traditional archaeological studies. Approaching Anthropology and Archaeology through Computational ModelingĪbstract: Quantitative model-based approaches to archaeology have been rapidly gaining popularity. Session: Data, Theory, Methods, and Models. Submission system can be accessed through here: Please consider putting together an abstract for submission. The Simulating Complexity team is involved in two sessions at the CAA.
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