ABC of visual pollution

, 96

Academic conferences

, 93

Acquisition of data layers representing strata

, 63–64

Advertisements, regulating

, 46

Advisory Committee on the Aesthetics of Major Engineering Structures

, 8

Aesthetics

, 2, 6

Analytical Hierarchy Process (AHP)

, 33, 58–59

Anglo American art philosophy

, 4–5

Application of visual pollution

, 32–33

Applied intervisibility analysis

, 33

ArcGIS tool

, 64

Architecturally poor buildings

, 19

Art and Architecture Complete

, 25–26

Artificial intelligence (AI)

, 53, 84

Assessment, measurement or quantification of visual pollution

, 33–34

Australian public affairs (full text) via Informit (APAFT)

, 25–26

Awareness promotion among planning professionals

, 93–94

Back-stage of the city

, 2

Broken roads

, 20

Bundaberg Regional Council, Australia

, 47

Citizen science

, 33, 53, 84

City aesthetics

, 5

City District Government Faisalabad Advertisement Bye-laws 2013

, 48

Clean City Law

, 34

in Brazil

, 39, 43, 45

in Sao Paulo

, 8–9

Closure

, 4

Colour photographs

, 58–59

Conceptualisation of visual pollution

, 31

Continuation

, 4

Convolutional Neural Network (CNN)

, 86

Crowdsourcing

, 53, 79

Definitional diversity

, 9–11

Demarcation of clusters representing sampling strata

, 64

Description of visual pollution

, 31–32

Descriptive statistics

, 70–74

Dilapidated buildings

, 19

Encroachments

, 20

Engagement of modern technologies in subject of visual pollution

, 78–87

basic terms

, 79–84

benefits and risks

, 87

examples of application of modern technologies

, 85–87

opportunities and challenges

, 88–89

Environment

, 2

Environmental Impact Assessment (EIA)

, 95

Figure

, 4

Front-stage of the city

, 2

Geographic information system (GIS)

, 53

GIS-based viewshed analysis

, 33

GIS-based visualisations

, 53

Gestalt’s theory of perception and cognition

, 4

Google Scholar

, 25–27

Graffiti/wall chalking

, 19

Gross Domestic Product (GDP)

, 41, 49

Hanging and cluttered wires

, 20

Hanging Laundry in Balcony, Kuwait

, 47, 2008

Harmony and balance of built environment

, 3–5

Highway Beautification Act of 1965

, 7–8, 39–40, 42

Hoarding in Cantonment Areas

, 48

Human Development Index (HDI)

, 41, 49

Image of the City, The (Lynch)

, 5, 7–8

Imageability

, 4

Industrialisation

, 49

Infrastructure

, 49

Institutionalisation of visual pollution in legal framework

, 94–95

Inter-visibility and quantitative analysis

, 58–59

Jacksonville community initiative in Florida

, 39, 42–43

Keyhole Markup Language (KML)

, 68–69

Khydija’s VPA Tool

, 54

application

, 61–62

characteristics

, 59–61

Knowledge building on visual pollution

, 92–93

Labelled datasets

, 86

Laws of visual pollution

, 96–97

Legitimacy

, 4

Linear Regression (LR)

, 87

Living places

, 6

Management and mitigation of visual pollution

, 91

laws of visual pollution

, 96–97

policy and administrative management frameworks

, 92–96

Mapping of visual pollution in study area

, 75–76

Microsoft Academic

, 25–26

Military Lands and Cantonment Hoarding Policy 2012

, 48

Mobile-based data collection

, 53

Non-government organisations (NGOs)

, 91–92

Open Street Map (OSM)

, 62–63

Opinion surveys

, 58–59

Outdoor advertisements

, 17

Pakistan, visual pollution in

, 48

Parks and Horticulture Authority (PHA)

, 48

Physical features

, 12–13

Poles and transformers

, 20

Policy and administrative management frameworks

, 92–96

awareness promotion among planning professionals

, 93–94

institutionalisation of visual pollution in legal framework

, 94–95

knowledge building on visual pollution

, 92–93

quantification and mapping of visual pollution in urban centres

, 95–96

remedial measures/corrective actions for visual pollution

, 95

Political stability

, 49

Pollution

, 7

ingredients

, 32

Print media

, 94

Professional workshops

, 93–94

Proximity

, 4

Public surveys

, 58–59

‘Publish or Perish’ tool

, 26–27

Punjab Outdoor Advertisement and Signboards Policy

, 48, 2013

Quantification and mapping of visual pollution in urban centres

, 95–96

Quantification and spatial mapping of visual pollution

, 67–69

data analysis

, 69

field survey

, 67–69

Quantitative Strategic Planning Matrix (QSPM)

, 33, 58–59

Regulation/mitigation/control of visual pollution

, 34

Regulations for outdoor Advertisements and Billboards

, 48

Remedial measures/corrective actions for visual pollution

, 95

SAGE Research Methods Online

, 25–26

ScienceDirect

, 25–26

Scopus

, 25–26

Services

, 49

Sewer and drains

, 19

Signage Bye-laws for Karachi 2003

, 48

Similarity

, 4

Social media

, 94

Solid waste

, 19

Sort, Set in Order, Shine, Standardize, Sustain strategy (5S strategy)

, 37

Spatial sampling for visual pollution assessment

, 62–64

acquisition of data layers representing strata

, 63–64

demarcation of clusters representing sampling strata

, 64

finalisation

, 64

Sri Lanka, visual pollution in

, 48–49

Standard operating procedures (SOPs)

, 48, 94–95

Strength Weaknesses Opportunities and Threats (SWOT)

, 33, 58–59

Sustainable Development Goals (SDGs)

, 2–3, 6–7

Symbology

, 4

Tangential View Landscape Metrics

, 33

3D isovist

, 33

Town planning practices

, 5

Traffic Impact Assessment (TIA)

, 95

Urban aesthetics

, 2–3, 5, 39

Urban environments

, 6–7

Urban studies abstracts via EBSCO

, 25–26

Visual aesthetics

, 6–7

Visual appeal

, 39

Visual impact assessment (VIA)

, 95

Visual pollution

, 1–2, 25

Advertising, Signage and Environmental Quality, Portella

, 36–37, 2014

books on

, 34–37

cases of visual pollution quantification

, 54–55

characteristics

, 11–12

content-based classification

, 30

elements

, 2–3

emergence

, 7, 9–10

frequency analysis

, 28

journal literature

, 27–34

multi-dimensional challenge

, 20–21

objects

, 12–20

Sivaramanan

, 37, 2016

social and psychological problems

, 1–2

systematic literature review

, 25–27

thematic details

, 35–36

ungoverned

, 2

visual pollution-related publications per country

, 29

Visual pollution assessment (VPA)

, 53–54, 91–92

cases of visual pollution quantification

, 54–55

challenges

, 55–58

engagement of modern technologies in subject of visual pollution

, 78–87

levels

, 53–54

mapping of visual pollution in study area

, 75–76

mobile-based versions

, 94

quantification and spatial mapping of visual pollution

, 67–69

recent development on

, 59–61

spatial sampling for

, 62–64

studies

, 56–58

tools and methods

, 58–59

visual pollution distribution across urban phenomena

, 70–74

VPI

, 54

Visual pollution distribution across urban phenomena

, 70–74

descriptive statistics

, 70–74

Visual Pollution Index (VPI)

, 54

Visual pollution management initiatives

, 39

lessons learned

, 49–51

Pakistan

, 48

regulatory cases

, 40–47

Sri Lanka

, 48–49

Visual pollution mitigation project in Kingdom of Saudi Arabia

, 39, 45–46

Visual pollution objects (VPOs)

, 12–14, 53, 91–92

identification process

, 14

in major VPO groups

, 16

Voxel approach

, 33

Web of Science

, 25–26

WebGIS

, 33