SUG613 GIS - Project 2 Report

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UNIVERSITI TEKNOLOGI MARA Faculty of Architecture, Planning and Surveying Centre of Studies Surveying Science and Geomatics AP220 Project 2: Spatial data editing and attribute data entry SUG 613 Geographic Information System I Dr. Eran Sadek Said Bin Md Sadek AP2205C Safwan Izzaty Bin Saharuddin 2011923667 13 / 06 / 2014

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project 2 report

Transcript of SUG613 GIS - Project 2 Report

Page 1: SUG613 GIS - Project 2 Report

UNIVERSITI TEKNOLOGI MARA

Faculty of Architecture, Planning and Surveying

Centre of Studies Surveying Science and Geomatics

AP220

Project 2: Spatial data editing and attribute data entry

SUG 613 – Geographic Information System I

Dr. Eran Sadek Said Bin Md Sadek

AP2205C

Safwan Izzaty Bin Saharuddin 2011923667

13 / 06 / 2014

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1.0 INTRODUCTION

Geographic Information System (GIS) integrates hardware, software, and data for

capturing, managing, analysing, and displaying all forms of geographically referenced

information. GIS allow people to view, understand, interpret, and visualize data in many

ways that shows relationships, patterns and trends in the form of maps, globes, reports or

charts. GIS assist us on answering questions and solving problems by looking at our data in a

way that is quickly understood and easily shared.

ArcGIS is the geography platform, enabling an organization to create, organize, and

share geographic information and tools with anyone by using intelligent online maps and

useful apps. It use a single scalable architecture and user interface. ArcGIS use the

applications of ArcCatalog and ArcMap and use the extensions such as Spatial analysis, 3D

Analysis, Network Analyst, and Geostatistical Analyst.

This report contains the process and output of the project 2 that was given to us. The

project is about spatial data editing and attribute data entry.

The task for this project is where we need to do spatial data editing which is the

process where we need to correct and edit all the layers based on the topological rules,

proceed with attribute data entry on all those layers.

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2.0 OBJECTIVES

i) To familiarize us with topological tools in ArcGIS

ii) To learn on how to correct topological and location error in ArcGIS

ii) To understand on how to enter attribute data in ArcGIS using subtypes or

attributes domain

3.0 EQUIPMENTS AND MATERIAL

i) ArcGIS 10.1

ii) All the data from Project 1

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4.0 METHODOLOGY

4.1 Spatial data editing

4.1.1 Creating topology

i) Create new personal geodatabase. Create feature dataset in it. Import

all the shapefile from Project 1.

ii) At the dataset, create new Topology. Set 1.00 meter for cluster

tolerance. Then, select all the layers. Let the layers be in the same rank.

iii) Add rules based on the feature in the created map.

iv) Validate the topology.

v) On the properties of the topology file, select generate summary to see

the error report.

Figure 4.1.1.1 – Topology file and topology rules

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Figure 4.1.1.2 – Topology error report

4.1.2 Edit error

i) Add topology dataset into the data frame. The screen will show the

map with its error.

ii) Turn on the topology toolbar. Click start editing to start activate the

editing.

iii) Use fix topology error tool to fix the error.

iv) Mark as exception for the allowable errors such as;

‘must not have dangles or pseudo nodes’ error is allowed for end road

or any type of line shapefile,

‘must not have gaps’ for building

iv) Check the remaining errors by using the error inspector functions.

v) Repeat the steps until all the errors were removed from the map.

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Figure 4.1.2.1 – Topology errors

Figure 4.1.2.2 – Error Inspector that shows the types of errors

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4.2 Attribute data entry

i) Open the attribute table of a layer.

ii) Click add field on the attribute table properties. Insert text in the added

field either it is category or name.

iii) Key in all the data attribute by activating editing option first.

iv) Use field calculator tools for ease the same data entry.

iv) Repeat the steps for all the other layers.

Figure 4.2 – attribute table for the layers of building

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4.3 Classifying layers

i) First, open up the properties of a layer.

ii) Click on the symbology tab. Click on categories and choose unique values.

iii) Choose value field with category.

iv) Add up all the values.

v) Change the colour or type of the value.

vi) Then, all the values will be classified.

Figure 4.3 – Layer properties to categories unique values.

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4.4 Output

This is the result after correcting all the topology errors, entering data attribute and

classifying values.

5.0 CONCLUSION

As a conclusion, I can state that I was able to familiarize the use of topology in

ArcGIS. I was also able to learn on how to correct topological and location errors in ArcGIS.

I was also achieved to understand on how to enter attribute data using subtypes or attribute

domain.

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6.0 COMMENT AND DISCUSSION

In this project, I managed to learn and improve the understanding on the use of

ArcGIS in the process of correcting topology errors and location errors. The total of topology

rules is 32 rules. The rules are based on the demand from the customer or client needs.

Digitising accurately help reduce those errors. The location errors could be zero if all the

digitising works done with perfectly. The topology errors may fix with the use of correction

tools available such as extend, trim or merge. Some of it needed to be digitised back. Some of

the errors may set as exception. For the example, the dead-end roads that have dangle error

may mark as exception.

Entering attribute data was achieved. I used manual method by adding the field in the

attribute table. Adding the field enabled the features to relate with other features. Information

of the features was obtained from the basemap. Attribute data is important for the client to

gather information by only clicking on their needs. The data is then classified into categories

by different colours or size.

Data quality and integrity is very important. Topology ensures the data and

information to be in top value of superiority in order to functioning very well in analysis. The

data analysis process might able to proceed without self-doubt.