Books & Videos

Table of Contents

Chapter: Importing Data in Table Format

The Course Overview

04m 16s

Importing Data from Tables (read.table)

02m 30s

Downloading Open Data from FTP Sites

04m 3s

Fixed-Width Format

04m 24s

Importing with read.lines (The Last Resort)

03m 20s

Cleaning Your Data

02m 36s

Chapter: Handling the Temporal Component

Loading the Required Packages

04m 9s

Importing Vector Data (ESRI shp and GeoJSON)

04m 2s

Transforming from data.frame to SpatialPointsDataFrame

02m 50s

Understanding Projections

03m 6s

Basic time/dates formats

03m 50s

Chapter: Importing Raster Data

Introducing the Raster Format

04m 58s

Reading Raster Data

06m 10s

Mosaicking

02m 52s

Stacking to Include the Temporal Component

04m 10s

Chapter: Exporting Data

Exporting Data in Tables

03m 12s

Exporting Vector Data (ESRI shp File)

02m 21s

Exporting Rasters in Various Formats (GeoTIFF, ASCII Grids)

02m 42s

Exporting Data for WebGIS Systems (GeoJSON, KML)

02m 40s

Chapter: Descriptive Statistics

Preparing the Dataset

07m 44s

Measuring Spread (Standard Deviation and Standard Distance)

03m 23s

Understanding Your Data with Plots

05m 50s

Plotting for Multivariate Data

03m 2s

Finding Outliers

03m 50s

Chapter: Manipulating Vector Data

Introduction

03m 37s

Re-Projecting Your Data

02m 54s

Intersection

03m 7s

Buffer and Distance

03m 22s

Union and Overlay

03m 32s

Chapter: Manipulating Raster Data

Introduction

04m 43s

Converting Vector/Table Data into Raster

04m 0s

Subsetting and Selection

03m 16s

Filtering

04m 58s

Raster Calculator

04m 44s

Chapter: Visualizing Spatial Data

Plotting Basics

05m 15s

Adding Layers

05m 44s

Color Scale

04m 51s

Creating Multivariate Plots

09m 9s

Handling the Temporal Component

03m 20s

Chapter: Interactive Maps

Introduction

02m 32s

Plotting Vector Data on Google Maps

05m 45s

Adding Layers

04m 41s

Plotting Raster Data on Google Maps

04m 19s

Using Leaflet to Plot on Open Street Maps

09m 3s

Chapter: Creating Global Economic Maps with Open Data

Introduction

02m 21s

Importing Data from the World Bank

05m 8s

Adding Geocoding Information

05m 38s

Concluding Remarks

03m 48s

Chapter: Point Pattern Analysis of Crime in the UK

Theoretical Background

15m 4s

Introduction

07m 37s

Intensity and Density

07m 38s

Spatial Distribution

10m 2s

Modelling

06m 41s

Chapter: Cluster Analysis of Earthquake Data

Theoretical Background

04m 31s

Data Preparation

05m 50s

K-Means Clustering

05m 26s

Optimal Number of Clusters

05m 17s

Hierarchical Clustering

06m 33s

Concluding

04m 32s

Chapter: Time Series Analysis of Wind Speed Data

Theoretical Background

04m 34s

Reading Time-Series in R

06m 37s

Subsetting and Temporal Functions

05m 15s

Decomposition and Correlation

07m 33s

Forecasting

04m 32s

Chapter: Geostatistics

Theoretical Background

04m 42s

Data Preparation

06m 20s

Mapping with Deterministic Estimators

06m 56s

Analyzing Trend and Checking Normality

04m 57s

Variogram Analysis

05m 52s

Mapping with kriging

06m 17s

Chapter: Regression and Statistical Learning

Theoretical Background

04m 8s

Dataset

02m 36s

Linear Regression

06m 7s

Regression Trees

04m 13s

Support Vector Machines

05m 5s