Tingyi’s Geob479 blog

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Lab 3: Crime analysis using CrimeStat

In this lab we were introduced to conduct a Crime Analysis using GIS and CrimeStat.  We considered the spatial distribution of various crimes that occurred between January 2005 and March 2006, and examine how adjusting statistics for baseline population differences can make a large difference in the interpretation of the results. Highlight: Some of the […]

Tutorial 3: Analyzing violent crime, workflow using ArcMap

I followed the instructions provided by ESRI here https://desktop.arcgis.com/zh-cn/analytics/case-studies/broken-bottles-2-arcmap-workflow.htm. Full Text : GEOB479 Tutorial 3 HIghlights: Some of the Maps Created

Tutorial 2: Spatial Pattern Analysis: Exploring Dengue Fever

I followed the tutorial provided by ArcGIS (http://www.arcgis.com/home/item.html?id=49dde041c3634355bf073b0b55fa5b2d). In the tutorial exercise, I used some spatial statistics tools (including Average Nearest Neighbour, Spatial Auto correlation, Calculate Distance Band from Neighbour Count, and Hot Spot Analysis) to better understand the pattern of Dengue Fever in Pennathur, a village in Southern India. This village is one of […]

Week 11: GIS and Crime

Police forces have been using GIS more and more often over the past 20 years–most larger Departments such as the Edmonton Police Service and the Ottawa Police Service would have at least performed an analyst using GIS. Using GIS to visualize crime occurrences is one of the most helpful usages of GIS in crime analysis. […]

Week 8: GIS and Health Geography

Spatial data is of great concern to population health studies. People and entities do not exist in a vacuum, and as such are influenced by and influence those around them. This can lead to geographically correlated issues where space and place are of huge importance, hence the need for GIS in health studies.Spatial epidemiology provides […]

Week 6 : What is health geography?

Health geography is related to medical geography, but is much more. It should be obvious that GIS can play a major role in several areas of health geography. However, similarly, it should also be obvious that the use of technologies such as GIS must always be tempered by a critical social and cultural perspective on […]

Method Introduction – Geographically-Weighted Regression

    Geographically weighted regression (GWR) is a spatial analysis technique widely used in geography and related disciplines related to spatial pattern analysis. GWR explores spatial changes and related drivers at a certain scale by establishing local regression equations at each point in the spatial range and can be used to predict future results. As […]

I missed the presentations on Landscape Ecology due to illness, please see my review paper from the link under the page title

Lab 2: Introduction to Geographically Weighted Regression.

Report Title :  An Analysis of the Relationship between Children’s Language Skills and Early Development Level of the Children and Their Neighborhood using Geographically-Weighted Regression. Abstract   This research analysis how children’s language skills level related to their and their neighbourhoods’ development level based on the Vancouver area. In order to understand their spatial correlation […]

Tutorial 1: Spatial Statistics using ModelBuilder

In this tutorial exercise, we used CDC Wonder Data and Model Builder to create yearly hot spot maps of Heart Disease. I brought the data into an ArcGIS file geodatabase, then create a model to process the data into individual feature classes , one for each year and a second model to perform hot spot […]

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