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