Geospatial analysis

I. Viewshed Analysis 2009

nico — Sat, 14 Mar 2009 22:52:17 +0000

This exercise will demonstrate two types of viewshed analysis.The first is a single site Viewshed, and the second is a general measure of visibility or exposure.

To begin with, please download and unzip the following dataset: 2009_View_Cost.zip (2mb).
Place the data in a directory under C:\ (not in My Documents) so that the path is simple and has no spaces. You might use
C:\gis_data\

II. Cost-Distance 2009

nico — Sat, 14 Mar 2009 22:49:46 +0000

Workshop 2009, No. 1 - Viewshed and Cost Distance

nico — Fri, 06 Mar 2009 00:32:53 +0000

Archaeological Research Facility at UC Berkeley
PRACTICAL WORKSHOP
Working with Archaeological data in Arcmap 9.2:
A brief tour of Viewshed and Cost distance functions
Friday Mar 5, 2009

Week 10 - Viewshed and Cumulative Viewshed Analysis

nico — Mon, 04 Dec 2006 21:15:01 +0000

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.

Week 9 - Anisotropic cost surfaces and Least-cost paths

nico — Mon, 27 Nov 2006 19:36:23 +0000

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.

Week 8 - Predictive Modeling

nico — Mon, 20 Nov 2006 21:31:29 +0000

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.

Week 7 - Pattern analysis, Part 2

nico — Mon, 13 Nov 2006 17:50:59 +0000

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 - Points and pattern analysis

nico — Mon, 06 Nov 2006 17:01:24 +0000

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

Week 5 - Raster Data Model: DEM and other continuous data

nico — Mon, 30 Oct 2006 18:07:59 +0000

Exercises: