Category: public data

GIS Course Note 02: Research Application, Software and Data Sources

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The second lecture of GIS comprised mainly three parts, the examples of practical research by using GIS, GIS software and the way to gain relevant data for the research.  
In the beginning, Dr. Adam Dennett, the lecturer of CASA, informed the aim of the lecture to understand the basic elements of social science research using GIS and the diverse analytical approaches with it. He showed several example maps, which are related to population, crime, deprivation, health care, flooding, and education, and the way how to read economic, social and physical characteristics from the maps and its meaning in the projects. (Image 1)



Image 1



And then, he moved to GIS software industry which has been significantly growing. As interest and the utilisation of GIS are increasing, GIS software market is expanding almost 10% every year and now it is used in all industries and public sectors such as business, public safety, military and education. The popular GIS tools: Arc GIS, MAP Info, Quantum GIS, Pythonand R, and specific points of each tool were introduced. Also, small description of GIS cloud and online GIS tools was following. (Image 2)

Image 2

In the last part, he said of various kinds of the data and the way of gathering the data which is the key element to proceed the research. Easily, we can classify the data according to the way of gathering. On the one hand, we can use the open data, which are provided by public sectors and other organisations. On the other hand, we need to collect the data through participation and measuring by ourselves. Some websites of the UK, which contain the open data or shapefiles, and the characteristics of each website were mentioned. As we can see Image 3, some other methods like WebScarping and Volunteered Geographic Information were shown as alternative ways to collect the data by ourselves, when the given data are unclear, and the goal of the research needs the specific data.

Image 3

 

The lecture was finished with the emphasis on caution when using the open data and the mapping with it. Much of the data are made with inadequate formats like pdf, or do not include any spatial reference, so we need to be careful to collect and use the data. When it came to the mapping with the data, he insisted that it is necessary to make analytical and meaningful maps rather than something fancy or colourful. In addition, it is essential to acknowledge that some errors could be made by way of ‘generalisation’ in the process of research, therefore, setting up the range and the level of the research will enrich the quality of it.
 
After one hour lecture, students had a training session that mapping population data on the map of London Borough with R. (Image 4)
Image 4

 

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Adam, CASA, Data Visualisation, GIS, mapping, Note, Open Data, public data, software

GIS Course Note 02: Research Application, Software and Data Sources

Posted on by

The second lecture of GIS comprised mainly three parts, the examples of practical research by using GIS, GIS software and the way to gain relevant data for the research.  
In the beginning, Dr. Adam Dennett, the lecturer of CASA, informed the aim of the lecture to understand the basic elements of social science research using GIS and the diverse analytical approaches with it. He showed several example maps, which are related to population, crime, deprivation, health care, flooding, and education, and the way how to read economic, social and physical characteristics from the maps and its meaning in the projects. (Image 1)



Image 1



And then, he moved to GIS software industry which has been significantly growing. As interest and the utilisation of GIS are increasing, GIS software market is expanding almost 10% every year and now it is used in all industries and public sectors such as business, public safety, military and education. The popular GIS tools: Arc GIS, MAP Info, Quantum GIS, Pythonand R, and specific points of each tool were introduced. Also, small description of GIS cloud and online GIS tools was following. (Image 2)

Image 2

In the last part, he said of various kinds of the data and the way of gathering the data which is the key element to proceed the research. Easily, we can classify the data according to the way of gathering. On the one hand, we can use the open data, which are provided by public sectors and other organisations. On the other hand, we need to collect the data through participation and measuring by ourselves. Some websites of the UK, which contain the open data or shapefiles, and the characteristics of each website were mentioned. As we can see Image 3, some other methods like WebScarping and Volunteered Geographic Information were shown as alternative ways to collect the data by ourselves, when the given data are unclear, and the goal of the research needs the specific data.

Image 3

 

The lecture was finished with the emphasis on caution when using the open data and the mapping with it. Much of the data are made with inadequate formats like pdf, or do not include any spatial reference, so we need to be careful to collect and use the data. When it came to the mapping with the data, he insisted that it is necessary to make analytical and meaningful maps rather than something fancy or colourful. In addition, it is essential to acknowledge that some errors could be made by way of ‘generalisation’ in the process of research, therefore, setting up the range and the level of the research will enrich the quality of it.
 
After one hour lecture, students had a training session that mapping population data on the map of London Borough with R. (Image 4)
Image 4

 

Continue reading »
Adam, CASA, Data Visualisation, GIS, mapping, Note, Open Data, public data, software

Review: Designing for the situated and public visualisation of urban data

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Journal of Urban Technology, Volume 19, Issue 2, 2012
Designing for the situated and public visualisation of urban data
by Andrew Vande Moere & Dan Hill

THE authors point out recent urban data visualisation still remains on the stage of simply providing statistical data, and it is ineffective to make better understanding about the interaction of the massive and complex urban data. They argue public policy should be changed to open more public data, which are including local characteristics, to raise public awareness and encourage actionable public participation.

Through five main parts; theoretical part (data and public visualisation) – Recent projects – Student projects – characteristics of urban visualisation – conclusion, this article draws the question and tries to answer against how we can visualise the complex and continuously changing condition of cities, where have different problems by particular factors in different parts within a city, and how we can expect the unpredictable condition in the information age.

The authors premise that the character of place has been formulated by economic and cultural patterns based on the rock of physical and geographical aspects, and these patterns adversely facilitate the physical change.  In the past, the production of the place represented the specific character of the place, and it had coupled with the regional change. However, since cities have transformed their industry from material based to knowledge based, they have been showing the movement of hominization. This paper argues that the character of the city in this era can be revealed by the data, which are endlessly producing in the city, and we can find the difference between cities by the analysis of the data.  Therefore, the urban data is not an indicator of urban activities but also the driving force leading qualitative changing of the urban environment.

Particularly, previous data unilaterally delivered statistical data of urban areas, but recent the urban data stimulate active participation of citizen by well-developed mobile devices and illustrate what feedbacks are creating by the citizen. And the authors emphasize the following elements are essential to visualise the urban data.  
1) Situated : contextual, local, social
2) Informative: feedback, insightful, consistent
3) Functional: medium, participate, opportunistic, aesthetic, trustworthy, persuasive

Despite a lot of attractive contents, the most impressive point in the article is the well-organised logical flow of what they use; Neo-industrial city (production of data) – open data (role of public data) – social visualisation (impact of data) – urban computing (technological integration) – urban scene (combination of data & urban environment), to explain the meaning of data in this period, its social role and the combination with the physical environment. When we consider the vague use and weak logical connection of the concepts surrounding the data and urban areas, it is a profound approach. This article reminds us to make a coherent structure and clear correlation is an critical issue to set up the base of opinion and to insist it by writing.

To cite this article: Andrew Vande Moere & Dan Hill (2012) Designing for the Situated and Public Visualization of Urban Data, Journal of Urban Technology, 19:2, 25-46
 
 
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Andrew Vande Moere, Dan Hill, Data Visualisation, journal, public data, review, Smart city, Urban Data

Review: Designing for the situated and public visualisation of urban data

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Journal of Urban Technology, Volume 19, Issue 2, 2012
Designing for the situated and public visualisation of urban data
by Andrew Vande Moere & Dan Hill

THE authors point out recent urban data visualisation still remains on the stage of simply providing statistical data, and it is ineffective to make better understanding about the interaction of the massive and complex urban data. They argue public policy should be changed to open more public data, which are including local characteristics, to raise public awareness and encourage actionable public participation.

Through five main parts; theoretical part (data and public visualisation) – Recent projects – Student projects – characteristics of urban visualisation – conclusion, this article draws the question and tries to answer against how we can visualise the complex and continuously changing condition of cities, where have different problems by particular factors in different parts within a city, and how we can expect the unpredictable condition in the information age.

The authors premise that the character of place has been formulated by economic and cultural patterns based on the rock of physical and geographical aspects, and these patterns adversely facilitate the physical change.  In the past, the production of the place represented the specific character of the place, and it had coupled with the regional change. However, since cities have transformed their industry from material based to knowledge based, they have been showing the movement of hominization. This paper argues that the character of the city in this era can be revealed by the data, which are endlessly producing in the city, and we can find the difference between cities by the analysis of the data.  Therefore, the urban data is not an indicator of urban activities but also the driving force leading qualitative changing of the urban environment.

Particularly, previous data unilaterally delivered statistical data of urban areas, but recent the urban data stimulate active participation of citizen by well-developed mobile devices and illustrate what feedbacks are creating by the citizen. And the authors emphasize the following elements are essential to visualise the urban data.  
1) Situated : contextual, local, social
2) Informative: feedback, insightful, consistent
3) Functional: medium, participate, opportunistic, aesthetic, trustworthy, persuasive

Despite a lot of attractive contents, the most impressive point in the article is the well-organised logical flow of what they use; Neo-industrial city (production of data) – open data (role of public data) – social visualisation (impact of data) – urban computing (technological integration) – urban scene (combination of data & urban environment), to explain the meaning of data in this period, its social role and the combination with the physical environment. When we consider the vague use and weak logical connection of the concepts surrounding the data and urban areas, it is a profound approach. This article reminds us to make a coherent structure and clear correlation is an critical issue to set up the base of opinion and to insist it by writing.

To cite this article: Andrew Vande Moere & Dan Hill (2012) Designing for the Situated and Public Visualization of Urban Data, Journal of Urban Technology, 19:2, 25-46
 
 
Continue reading »
Andrew Vande Moere, Dan Hill, Data Visualisation, journal, public data, review, Smart city, Urban Data

Review: Designing for the situated and public visualisation of urban data

Posted on by

Journal of Urban Technology, Volume 19, Issue 2, 2012Designing for the situated and public visualisation of urban databy Andrew Vande Moere & Dan Hill THE authors point out recent urban data visualisation still remains on the stage of simply provi…

Continue reading »
Andrew Vande Moere, Dan Hill, Data Visualisation, journal, public data, review, Smart city, Urban Data