Abstract: Airborne Laser Scanning (ALS) is one of the main technologies for generating high-resolution digital terrain models (DTMs). DTMs are crucial to several applications, such as topographic mapping, flood zone delineation, geographic information systems (GIS), hydrological modelling, spatial analysis, etc. Laser scanning system generates irregularly spaced three-dimensional cloud of points. Raw ALS data are mainly ground points (that represent the bare earth) and non-ground points (that represent buildings, trees, cars, etc.). Removing all the non-ground points from the raw data is referred to as filtering. Filtering heavily forested areas is considered a difficult and challenging task as the canopy stops laser pulses from reaching the terrain surface. This research presents an approach for removing non-ground points from raw ALS data in densely forested areas. Smoothing splines are exploited to interpolate and fit the noisy ALS data. The presented filter utilizes a weight function to allocate weights for each point of the data. Furthermore, unlike most of the methods, the presented filtering algorithm is designed to be automatic. Three different forested areas in the United Kingdom are used to assess the performance of the algorithm. The results show that the generated DTMs from the filtered data are accurate (when compared against reference terrain data) and the performance of the method is stable for all the heavily forested data samples. The average root mean square error (RMSE) value is 0.35 m.
Abstract: Metropolitan areas need urban transformation and urban renewal in terms of their internal Dynamics. Since 1980, the İstanbul Metropolitan area has been started to urban growth, while the population was increasing and it has brought together masses that have different lifestyles and cultures. Commercial and residential areas' spatial needs and decisions are affected by these different lifestyles. As the terms shopping mall and commercial Street became widespread, consumption trends had changed depending on the socio-economic characteristics of the people. Increase in demand for these areas, the number of shopping centers has increased, while the shopping streets started to be as effective as the shopping centers and have been pedestrianized. In this article, the change in commercial area site selection by the dynamics of the population will be examined in cities that diverged from spatial-temporal limitations. In the study, the analysis of multilayered data using geographic information systems (GIS) will be used as a method. With this method, a more synthesistic approach will be introduced with the collection editing, querying, and analysis of geographical data in computer-based systems. While conducting this analysis, Alemdağ Street in the Ümraniye district of İstanbul, where a pedestrian decision was made, will be based on and the change in the commercial and residential functions before and after the pedestrianization decision will be evaluated.
Abstract: Geographic Information Systems (GIS) is a multipurpose computer-based tool that provides a sophisticated ability to map and analyze data on different spatial layers. However, GIS is far more easily applied in some policy areas than others. This paper seeks to determine the areas of sustainable development, including environmental, economic, and social dimensions, where GIS has been used to date to support efforts to implement the United Nations Sustainable Development Goals (SDGs), and to discuss potential areas where it might be used more. Based on an extensive analysis of published literature, we ranked the SDGs according to how frequently GIS has been used to study related policy. We found that SDG#15 “Life on Land” is most often addressed with GIS, following by SDG#11 “Sustainable Cities and Communities”, and SDG#13 “Climate Action”. On the other hand, we determined that SDG#2 “Zero Hunger”, SDG#8 “Decent Work and Economic Growth”, and SDG#16 “Peace, Justice, and Strong Institutions” are least addressed with GIS. The paper outlines some specific ways that GIS might be applied to the SDGs least linked to this tool currently.
Abstract: This paper explores the effectiveness of approaches used for the implementation of technology within central governments specifically Geographic Information Systems (GIS). It examines the extent to which various strategies to GIS implementation and its roll out to users within an organization is crucial for its long term assimilation. Depending on the contextual requirements, various implementation strategies exist spanning from the most revolutionary to the most evolutionary, which have an influence on the success of GIS projects and the realization of resulting business benefits within the central governments. This research compares between two strategies of GIS implementation within the Lebanese Municipalities. The first strategy is the “Technological Approach” which is focused on technology acquisition, overlaid on existing governmental frameworks. This approach gives minimal attention to capability building and the long term sustainability of the implemented program. The second strategy, referred to as the “Ecological Approach”, is naturally oriented to the function of the organization. This approach stresses on fostering the evolution of the program and on building the human capabilities. The Union of the Joumeh Municipalities will be presented as a case study under the “Ecological Approach” and the role of the GIS Center at the University of Balamand will be highlighted. Thus, this research contributes to the development of knowledge on technology implementation and the vital role of academia in the specific context of the Lebanese public sector so that this experience may pave the way for further applications.
Abstract: PhilSHORE is a multi-site, multi-device and multicriteria
decision support tool designed to support the development of
tidal current energy in the Philippines. Its platform is based on
Geographic Information Systems (GIS) which allows for the
collection, storage, processing, analyses and display of geospatial
data. Combining GIS tools with open source web development
applications, PhilSHORE becomes a webGIS-based marine spatial
planning tool. To date, PhilSHORE displays output maps and graphs
of power and energy density, site suitability and site-device analysis.
It enables stakeholders and the public easy access to the results of
tidal current energy resource assessments and site suitability
analyses. Results of the initial development show that PhilSHORE is
a promising decision support tool for ORE project developments.
Abstract: In recent years, geographic information systems (GIS)
and remote sensing using has increased to estimate runoff catchment.
In this research, runoff curve number maps for captive catchment of
Tehran by helping GIS and also remote sensing which based on
factors such as vegetation, lands using, group of soil hydrology and
hydrological conditions were obtained. Runoff curve numbers map
was obtained by combining these maps in ARC GIS and SCS table.
To evaluate the accuracy of the results, the maximum flow rate of
flood which was obtained from curve numbers, was compared with
the measured maximum flood rate at the watershed outlet and
correctness of curve numbers were approved.
Abstract: With the prevalence of computer and development of information technology, Geographic Information Systems (GIS) have long used for a variety of applications in electrical engineering. GIS are designed to support the analysis, management, manipulation and mapping of spatial data. This paper presents several usages of GIS in power utilities such as automated route selection for the construction of new power lines which uses a dynamic programming model for route optimization, load forecasting and optimizing planning of substation-s location and capacity with comprehensive algorithm which involves an accurate small-area electric load forecasting procedure and simulates the different cost functions of substations.
Abstract: This study focuses on an evaluation of Hokkaido which
is the northernmost and largest prefecture by surface area in Japan and
particularly on two points: the rivalry between all kinds of land use
such as urban land and agricultural and forestry land in various cities
and their surrounding areas and the possibilities for forestry biomass in
areas other than those mentioned above and grasps which areas require
examination of the nature of land use control and guidance through
conducting land use analysis at the district level using GIS
(Geographic Information Systems). The results of analysis in this
study demonstrated that it is essential to divide the whole of Hokkaido
into two areas: those within delineated city planning areas and those
outside of delineated city planning areas and to conduct an evaluation
of each land use control.
In delineated urban areas, particularly urban areas, it is essential to
re-examine land use from the point of view of compact cities or smart
cities along with conducting an evaluation of land use control that
focuses on issues of rivalry between all kinds of land use such as urban
land and agricultural and forestry land. In areas outside of delineated
urban areas, it is desirable to aim to build a specific community
recycling range based on forest biomass utilization by conducting an
evaluation of land use control concerning the possibilities for forest
biomass focusing particularly on forests within and outside of city
planning areas.
Abstract: This paper discusses applications of a revolutionary
information technology, Geographic Information Systems (GIS), in
the field of the history of cartography by examples, including
assessing accuracy of early maps, establishing a database of places
and historical administrative units in history, integrating early maps
in GIS or digital images, and analyzing social, political, and
economic information related to production of early maps. GIS
provides a new mean to evaluate the accuracy of early maps. Four
basic steps using GIS for this type of study are discussed. In addition,
several historical geographical information systems are introduced.
These include China Historical Geographic Information Systems
(CHGIS), the United States National Historical Geographic
Information System (NHGIS), and the Great Britain Historical
Geographical Information System. GIS also provides digital means to
display and analyze the spatial information on the early maps or to
layer them with modern spatial data. How GIS relational data
structure may be used to analyze social, political, and economic
information related to production of early maps is also discussed in
this paper. Through discussion on these examples, this paper reveals
value of GIS applications in this field.
Abstract: Information is power. Geographical information is an
emerging science that is advancing the development of knowledge to
further help in the understanding of the relationship of “place" with
other disciplines such as crime. The researchers used crime data for
the years 2004 to 2007 from the Baguio City Police Office to
determine the incidence and actual locations of crime hotspots.
Combined qualitative and quantitative research methodology was
employed through extensive fieldwork and observation, geographic
visualization with Geographic Information Systems (GIS) and Global
Positioning Systems (GPS), and data mining. The paper discusses
emerging geographic visualization and data mining tools and
methodologies that can be used to generate baseline data for
environmental initiatives such as urban renewal and rejuvenation.
The study was able to demonstrate that crime hotspots can be
computed and were seen to be occurring to some select places in the
Central Business District (CBD) of Baguio City. It was observed that
some characteristics of the hotspot places- physical design and milieu
may play an important role in creating opportunities for crime. A list
of these environmental attributes was generated. This derived
information may be used to guide the design or redesign of the urban
environment of the City to be able to reduce crime and at the same
time improve it physically.
Abstract: Flood zoning studies have become more efficient in
recent years because of the availability of advanced computational
facilities and use of Geographic Information Systems (GIS). In the
present study, flood inundated areas were mapped using GIS for the
Dikrong river basin of Arunachal Pradesh, India, corresponding to
different return periods (2, 5, 25, 50, and 100 years). Further, the developed inundation maps corresponding to 25, 50, and 100 year return period floods were compared to corresponding maps
developed by conventional methods as reported in the Brahmaputra Board Master Plan for Dikrong basin. It was found that, the average
deviation of modelled flood inundation areas from reported map
inundation areas is below 5% (4.52%). Therefore, it can be said that
the modelled flood inundation areas matched satisfactorily with
reported map inundation areas. Hence, GIS techniques were proved to be successful in extracting the flood inundation extent in a time and cost effective manner for the remotely located hilly basin of Dikrong, where conducting conventional surveys is very difficult.
Abstract: The shortest path (SP) problem concerns with finding the shortest path from a specific origin to a specified destination in a given network while minimizing the total cost associated with the path. This problem has widespread applications. Important applications of the SP problem include vehicle routing in transportation systems particularly in the field of in-vehicle Route Guidance System (RGS) and traffic assignment problem (in transportation planning). Well known applications of evolutionary methods like Genetic Algorithms (GA), Ant Colony Optimization, Particle Swarm Optimization (PSO) have come up to solve complex optimization problems to overcome the shortcomings of existing shortest path analysis methods. It has been reported by various researchers that PSO performs better than other evolutionary optimization algorithms in terms of success rate and solution quality. Further Geographic Information Systems (GIS) have emerged as key information systems for geospatial data analysis and visualization. This research paper is focused towards the application of PSO for solving the shortest path problem between multiple points of interest (POI) based on spatial data of Allahabad City and traffic speed data collected using GPS. Geovisualization of results of analysis is carried out in GIS.
Abstract: This study aims to propose three evaluation methods to
evaluate the Tokyo Cap and Trade Program when emissions trading is
performed virtually among enterprises, focusing on carbon dioxide
(CO2), which is the only emitted greenhouse gas that tends to increase.
The first method clarifies the optimum reduction rate for the highest
cost benefit, the second discusses emissions trading among enterprises
through market trading, and the third verifies long-term emissions
trading during the term of the plan (2010-2019), checking the validity
of emissions trading partly using Geographic Information Systems
(GIS). The findings of this study can be summarized in the following
three points.
1. Since the total cost benefit is the greatest at a 44% reduction rate, it
is possible to set it more highly than that of the Tokyo Cap and
Trade Program to get more total cost benefit.
2. At a 44% reduction rate, among 320 enterprises, 8 purchasing
enterprises and 245 sales enterprises gain profits from emissions
trading, and 67 enterprises perform voluntary reduction without
conducting emissions trading. Therefore, to further promote
emissions trading, it is necessary to increase the sales volumes of
emissions trading in addition to sales enterprises by increasing the
number of purchasing enterprises.
3. Compared to short-term emissions trading, there are few enterprises
which benefit in each year through the long-term emissions trading
of the Tokyo Cap and Trade Program. Only 81 enterprises at the
most can gain profits from emissions trading in FY 2019. Therefore,
by setting the reduction rate more highly, it is necessary to increase
the number of enterprises that participate in emissions trading and
benefit from the restraint of CO2 emissions.