Quantitative and spatial analysis

Duncan Golicher

Introduction

This course aims to provide you with basic knowledge of the tools and methods available for conducting quantitative analysis of filed data, including spatially explicit field data.

Tutors

Duncan Golicher Unit leader
Lu Esteves Spatial analysis
Harry Manley Spatial analysis

Software used on the course

Modern analytical methods use a wide range of software, some of which is online and cloud based. The different pieces of software pass data to each other using common data standards. So, if you learn about the nature of data you will be able to use many different tools.

Software for GIS used on the course

Online

Google maps
Google earth
Leaflet
Open Layers

Software for GIS used on the course

Local network

PostGIS
Geoserver
Leaflet

Software for GIS used on the course

Desktop

Arc GIS
QGIS

Software for GIS used on the course

Desktop and server

R
GDAL
Leaflet

Software for statistics used on the course

Desktop and server

R (RStudio)
R (Shiny)
Excel or other spreadsheets data capture only

Course philosophy

“Provide a fishing rod, not a fish”
“If you only have a hammer every problem looks like a nail”
“Reuse and reproduce”
“GIYF”

Assignment

Two data sets to analyse and write up
Details of the format of your write up and marking scheme on the assignment brief
First data set will be collected on the field trip

Field trip

The field trip will be to the RSPB reserve at Arne on friday 13 October
We will be collecting data on pine regeneration in heathland