Week 10 In Class Exercise

VIEWSHED ANALYSIS

There are several types of viewshed analysis available in ArcGIS.
We will visit two of these types using the Callalli study area.

Instead of using the data from before, I've prepared new files because we need a larger DEM and a Sites shapefile with time periods assigned.

Download the View.Zip file and uncompress to a path with no spaces.

As with other data used in this class, this Sites dataset is based on my dissertation data set, but the attributes are not the actual data so don't compare this Sites file with what is in my dissertation.

Week 9 - Anisotropic Cost surfaces

Introduction: Non-Cartesian Distance Units
Spatial analysis in anthropology is frequently based on Cartesian coordinates that describe space in terms of regular units on a grid coordinate system. The UTM system is a good example of a Cartesian coordinate system in metric units. GIS permits the calculation of distance costs in terms of non Cartesian units that, some have argued, are a better reflection of real perspectives and human (agent) decision-making.

In class Exercise: Week 8

Predictive (Locational) Models

As discussed in class, predictive models range in complexity from a simple collection of landform criteria for planning efficient survey strategies, to complex logistic regression functions where the contribution of each variable is made explicit. As described in the readings, these various models can be categorized by three major elements: the types input data, types of output data (form of results), and goals of the model.

A simple Rule-based survey model can be constructed by assembling various criteria and progressively delimiting the terrain included in the survey. For example, one might survey all terrain in a river valley that is less than 500m from the highest river terrace, and slopes under 15 degree slopes. The construction of such a model in Arcmap would involve several Spatial Analyst operations.

Week 7 In-Class Exercises, Pattern analysis Pt II

Comparing point patterns
This exercise will introduce functions found in the Geostatistical Analyst toolbar.

Introduction

The lab is organized around the following question in the Callalli data:

Week 6 In-Class Exercises, Points and pattern analysis

• Random point generation for Stratified Cluster Sampling
• Analyses of Point Pattern Dispersal

PART I. Random samples and point pattern analysis

A. Download and Install Hawth's Tools for statistical analysis

We will use a third party tool to generate random sampling locations. There are thousands of useful scripts and tools for ArcGIS that you can download for free from

Exercises: