Publications by Denise Adele Chua

IS415 Hands-on Exercise 7: Spatial Clustering of Geographically Referenced Attribute

13.09.2020

Introduction In this hands-on exercise, you will gain hands-on experience on using appropriate localised geospatial statistics analysis and thematic mapping functions of R to perform spatial clustering on geographically referenced attribute. There are two major analysis, namely: cluster and outlier analysis; and hot spot and cold spot areas anal...

16142 sym R (17170 sym/58 pcs) 12 img

IS415 Hands-on Exercise 6: Spatial Autocorrelation and Spatial Weights

13.09.2020

1 Overview In this hands-on exercise, you will learn how to compute spatial autocorrelation statistics using R. By the end to this hands-on exercise, you will be able to: import geospatial data using appropriate function(s) of rgdal package, import csv file using appropriate function of readr package, perform relational join using appropriate jo...

12089 sym R (30634 sym/94 pcs) 12 img

IS415 Sample In-class Exercise 5

20.09.2020

1 Installing and Loading Required Packages In this in-class exercise, three R packages will be used: spatstat, which has a wide range of useful functions for point pattern analysis. raster which reads, writes, manipulates, analyses and model of gridded spatial data (i.e. raster). maptools which provides a set of tools for manipulating geographi...

8955 sym R (8248 sym/49 pcs) 11 img

Hands-on Exercise 8: Geographical Segmentation with Spatially Constrained Clustering Techniques

29.09.2020

1 Introduction In this hands-on exercise, you will gain hands-on experience on how to delineate homogeneous region by using geographically referenced multivariate data. There are two major analysis, namely: hierarchical cluster analysis; and spatially constrained cluster analysis. 1.1 Learning Outcome By the end of this hands-on exercise, you w...

21607 sym R (23227 sym/75 pcs) 19 img

IS415 Hands-on Exercise 12: Spatial Interpolation with Geostatistical Methods

08.11.2020

1 Overview Spatial interpolation has been widely and commonly used in many studies to create surface data based on a set of sampled points, such as soil properties, temperature, and precipitation. Simple approach like inverse distance weighted algorithm or the well known kriging procedures have been routinely been applied in many studies. In this...

9027 sym R (9320 sym/49 pcs) 14 img

IS415 Hands-on Exercise 11: Analysing and Modelling Movement Data

01.11.2020

1 Introduction In this hands-on exercise, you will gain hands-on experience on how to calibrate Spatial Interaction Models (SIM) by using appropriate R packages. The use case is adapted from Modelling population flows using spatial interaction models by Adam Dennett. 1.1 Learning Outcome By the end of this hands-on exercise, you will be able: t...

11503 sym R (39439 sym/77 pcs) 6 img