The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Exploration and 3D GIS Software - MapInfo Professional Discover3D 2015Prakher Hajela Saxena
MapInfo Discover3D 2015 is the latest version of the software available in the industry today with tools to enhance your Geological Mapping, and 3D Exploration modeling capabilities.
MapInfo Professional Discover3D is a complete GIS and geological 3D exploration software package. This is a must have suite to suffice all your exploration needs. The presentation shows a few examples of what the software is about.
MapInfo Professional 12.5 and Discover3D 2014 - A brief overviewPrakher Hajela Saxena
MapInfo Professional and Discover3D is a complete suite of software specifically designed for geoscientists, environmentalists, and geochemists.
The software is being used in various industries today like, environment, mining, exploration, hydrology, etc.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
Exploration and 3D GIS Software - MapInfo Professional Discover3D 2015Prakher Hajela Saxena
MapInfo Discover3D 2015 is the latest version of the software available in the industry today with tools to enhance your Geological Mapping, and 3D Exploration modeling capabilities.
MapInfo Professional Discover3D is a complete GIS and geological 3D exploration software package. This is a must have suite to suffice all your exploration needs. The presentation shows a few examples of what the software is about.
MapInfo Professional 12.5 and Discover3D 2014 - A brief overviewPrakher Hajela Saxena
MapInfo Professional and Discover3D is a complete suite of software specifically designed for geoscientists, environmentalists, and geochemists.
The software is being used in various industries today like, environment, mining, exploration, hydrology, etc.
RGBEXCEL: AN RGB IMAGE DATA EXTRACTOR AND EXPORTER FOR EXCEL PROCESSINGsipij
The objective of this paper was to develop a means of rapidly obtaining RGB image data, as part of an
effort to develop a low-cost method of image processing and analysis based on Microsoft Excel. A simple
standalone GUI (graphical user interface) software application called RGBExcel was developed to extract
RGB image data from any colour image files of any format. For a given image file, the output from the
software is an Excel file with the data from the R (red), G (green), and B (blue) bands of the image
contained in different sheets. The raw data and any enhancements can be visualized by using the surface
chart type in combination with other features. Since Excel can plot a maximum dimension of 255 by 255
pixels, larger images are downscaled to have a maximum dimension of 255 pixels. Results from testing the
application are discussed in the paper.
Lidar data is being used widely today for aerial surveys. Drones being the preferred choice for survey, the software Discover3D which is a 3D GIS software, can ingest the .LAS files as point clouds to create surfaces and volume calculations, slope analysis and 3D visualization
ILWIS is an acronym for the Integrated Land and Water Information System.
It is a Geographic Information System (GIS) with Image Processing capabilities. ILWIS has been developed by the International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede, The Netherlands.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
TeleCAD-GIS is a scalable, Autodesk-based, CAD/GIS solution for both national and regional telecommunications infrastructure networks planning, design, documenting and maintenance. It provides valuable tools targeting customer-owned outside plant design; OSP right-of-way and route design; OSP space design; underground, direct-buried, and aerial plant design; OSP cabling hardware and OSP grounding, bonding and electrical protection systems; automated switching and support systems design, etc.
RGBEXCEL: AN RGB IMAGE DATA EXTRACTOR AND EXPORTER FOR EXCEL PROCESSINGsipij
The objective of this paper was to develop a means of rapidly obtaining RGB image data, as part of an
effort to develop a low-cost method of image processing and analysis based on Microsoft Excel. A simple
standalone GUI (graphical user interface) software application called RGBExcel was developed to extract
RGB image data from any colour image files of any format. For a given image file, the output from the
software is an Excel file with the data from the R (red), G (green), and B (blue) bands of the image
contained in different sheets. The raw data and any enhancements can be visualized by using the surface
chart type in combination with other features. Since Excel can plot a maximum dimension of 255 by 255
pixels, larger images are downscaled to have a maximum dimension of 255 pixels. Results from testing the
application are discussed in the paper.
Lidar data is being used widely today for aerial surveys. Drones being the preferred choice for survey, the software Discover3D which is a 3D GIS software, can ingest the .LAS files as point clouds to create surfaces and volume calculations, slope analysis and 3D visualization
ILWIS is an acronym for the Integrated Land and Water Information System.
It is a Geographic Information System (GIS) with Image Processing capabilities. ILWIS has been developed by the International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede, The Netherlands.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
TeleCAD-GIS is a scalable, Autodesk-based, CAD/GIS solution for both national and regional telecommunications infrastructure networks planning, design, documenting and maintenance. It provides valuable tools targeting customer-owned outside plant design; OSP right-of-way and route design; OSP space design; underground, direct-buried, and aerial plant design; OSP cabling hardware and OSP grounding, bonding and electrical protection systems; automated switching and support systems design, etc.
In current lifestyle people tend to waste a lot of time in doing unnecessary activities like watching movies, playing video games, window shopping, etc. Many a times they are not aware of the cumulative time they spend wastefully. They can use their time constructively if they were informed about it through a mobile app. In our project we aim to develop an app which helps in monitoring the amount of time spent in such activities at various locations and inform the user about the same through visual display on Google maps. This app displays the summary of the locations visited during the day along with timestamps for better analyzing of data.
React’s suitability to develop Geospatial solutions.pdfMindfire LLC
Application development is a critical necessity for many firms that seek to create unique user experiences. This can range from a simple interface that provides relatively specialized access to data, such as data monetization, to a more comprehensive solution that supports complicated business decisions, such as site selection. According to 182 Pages Report, the worldwide geospatial solutions market is expected to reach USD 502.6 billion by 2024, up from USD 239.1 billion in 2019, at a CAGR of 13.2 percent over the forecast period. In this article, we will discuss the significance of react in geospatial solutions.
Want to take advantage of GIS data without having a GIS department? Looking to reap the benefits of GIS data in your projects? This session will show you how to unleash the power of accessing and utilizing GIS data in the AutoCAD environment. We will delve into practical examples and explanations along with reviewing where and when to use each tool.
Software, Application, or a System that is used to analyze, manipulate, and visualize geospatial data and databases is a GIS Software. These are robust packages that are used to handle a large number of data sets. The data sets and files are limited to spreadsheets and multimedia files like video drive files and imagery from various sources. Companies that are into GIS software are ESRI, HERE Maps, Google, Bing Maps and Autodesk, etc. Along with the big guns, there are also small open-source, free wares that are doing well in the industry. I will try to cover the most widely and known software in the latter part
Analysis and Visualization of Network Data Using JUNGIJERA Editor
The JUNG (Java Universal Network/Graph) Framework is a free, open-source software library that provides a common and extendible language for the manipulation, analysis, and visualization of data that can be represented as a graph or network. It is written in the Java programming language, allowing JUNG-based applications to make use of the extensive built-in capabilities of the Java Application Programming Interface (API), as well as those of other existing third-party Java libraries. In this paper, the JUNG Framework is described which is used to visualize data.
Harnessing the power of wind: a comprehensive analysis of wind energy potenti...Mohammad Liton Hossain
This study gives a thorough analysis on the wind energy potential in Dhaka, Bangladesh, utilizing data from NASA
Power’s remote sensing tools and weather data from the Bangladesh Meteorological Department (BMD). The wind
speed data collected over a 22 year period at an altitude of 10 m. The results indicate that 3.07 m per second (ms−1)
is Dhaka city’s typical wind speed, while the maximum wind speeds were recorded in June and July. A Weibull
distribution is used to observe the wind data, as well as to calculate the Weibull form parameter of 2.65 and the scale
parameter of 3.43 ms−1. Based on these parameters, the most probable wind speed along with the wind speed
carrying maximum energy were calculated 2.83 ms−1 and 4.28 ms−1, respectively. The highest density of energy
has been found in the month of July with a value of 52.11 W/m2. According to the study, the south is the most
prominent wind direction for Dhaka city. Moreover, the study analyzes the relations between energy density
and other variables, like wind speed, humidity, dry bulb temperature, etc. Positive correlations between energy
density, wind speed, and dry bulb temperature imply that the higher wind speeds and dry bulb temperatures result
in greater energies. The study’s conclusions offer intuitive information about Dhaka City’s potential for wind energy
and can support direct future efforts to pursue this green resource in alignment with the Sustainable Development
Goals (SDGs) of Bangladesh
Developing a hands-free interface to operate a Computer using voice commandMohammad Liton Hossain
The main focus of this study is to help a handicap person to operate a computer by voice command. It can be used to operate the entire computer functions on the user’s voice commands. It makes use of the Speech Recognition technology that allows the computer system to identify and recognize words spoken by a human using a microphone. This Software will be able to recognize spoken words and enable user to interact with the computer. This interaction includes user giving commands to his computer which will then respond by performing several tasks, actions or operations depending on the commands they gave. For Example: Opening /closing a file in computer, YouTube automation using voice command, Google search using voice command, make a note using voice command, calculation by calculator using voice command etc.
Development of an Audio Transmission System Through an Indoor Visible Light ...Mohammad Liton Hossain
This study presents an approach to develop an indoor visible light communication system capable of transmitting audio signal over light beam within a short distance. Visible Light Communication (VLC) is a pretty new technology which used light sources to transmit data for communication. In any communication system, both analog and digital signal transmission are possible, though, due to having the capability of providing a faithful quality of signal regeneration after the transmission process, digital communication system is much more popular than the analog one. In the current project, digital communication process was adopted also. To convert the analog audio signal into the digital transmission signal and vice versa, Pulse Width Modulation (PWM) was used as the signal encoding strategy. As the light emitter, white Light Emitting Diodes (LEDs) were used and as photo sensor, a solar cell was used instead of a photodiode to obtain greater signal power and sensitivity. In the system, the carrier signal for transmission was chosen to have a frequency of 50 KHz. At the receiving end, a 4th order Butterworth lowpass filter having a cutoff frequency of 8 KHz was used to demodulate the audio signal. Using only 2 white LEDs, the indoor transmission range of this visible light communication system was found to be 5 meters while reproducing a satisfactory quality audio.
Development of a Low Power Indoor Transmission System with a Dedicated Androi...Mohammad Liton Hossain
This Study demonstrates the design, development and the implementation of a low power, portable Indoor Transmission (campus radio) system using Raspberry Pi which facilitates larger scale implementation at moderate cost. It can be locally or remotely controlled and configured for both education and research purposes. This concept may be extended to implement in large college campuses or in any university by some parameter modifications where the latest happenings in an institute can be informed to the students by tuning to the pre-assigned frequency of an FM receiver system. For smart handling, a dedicated Android app is also developed here.
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNELMohammad Liton Hossain
Modems, in the beginning, were used mainly to communicate between data terminals and a host computer. Later, the use of modems was extended to communicate between end computers. This required more speed and the data rates increased from 300 bps in early days to 28.8bps today. Today, transmission involves data compression techniques which increase the rates, error detection and error correction for more reliability.
This research includes the design, implementation and simulation of a transmitter, a receiver of a BPSK based system. We implement a BPSK modem and BER measurement with an AWGN channel. We detect and count Error by this modem. With increasing SNR we reduce BER by the BPSK Modem.
DEVELOPMENT OF AN ALPHABETIC CHARACTER RECOGNITION SYSTEM USING MATLAB FOR BA...Mohammad Liton Hossain
Character recognition technique, associates a symbolic identity with the image of the character, is an important area in pattern recognition and image processing. The principal idea here is to convert raw images (scanned from document, typed, pictured etcetera) into editable text like html, doc, txt or other formats. There is a very limited number of Bangla Character recognition system, if available they can’t recognize the whole alphabet set. Motivated by this, this paper demonstrates a MATLAB based Character Recognition system from printed Bangla writings. It can also compare the characters of one image file to another one. Processing steps here involved binarization, noise removal and segmentation in various levels, features extraction and recognition.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Concepts and Methods of Embedding Statistical Data into Maps
1. International Journal of Scientific and Research Publications, Volume 8, Issue 5, May 2018 21
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7706 www.ijsrp.org
Concepts and Methods of Embedding Statistical Data
into Maps
Mohammad Liton Hossain*
, Dr.-Ing. Holger Meyer**
*
Computational Science and Engineering, University of Rostock, Germany
**Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
DOI: 10.29322/IJSRP.8.5.2018.p7706
http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7706
Abstract- The main focus of this study is to find appropriate and
stable solutions for representing the statistical data into map with
some special features. This research also includes the comparison
between different solutions for specific features. In this research I
have found three solutions using three different technologies
namely Oracle MapViewer, QGIS and AnyMap which are
different solutions with different specialties. Each solution has its
own specialty so we can choose any solution for representing the
statistical data into maps depending on our criteria’s.
Index Terms- API, GIS, JDBC, NSDP, Oracle MapViewer,
I. INTRODUCTION
A map is a very powerful way to present data. It is much
more intuitive than presenting the same data in the form of
coordinates or text. Using the functionalities of spatial databases,
along with other Middleware tools, such spatial applications can
be developed that is capable to represent the statistical data into
maps in various ways. In this research work a spatial application
of a specific country will be designed and developed and it will
show statistical data on the map (Bar chart, Pie chart etc.) and
also it will show the five different layers of addresses (District,
county, sub-county, parish and villages) along with other
features. We need to find out some useful and stable solutions for
embedding statistical data into maps and Compare the solutions
with specific features and finally implement the appropriate
solution for the specific country.
II. OVERVIEW OF DIFFERENT TECHNOLOGIES
A. Oracle MapViewer
Oracle MapViewer is a very powerful and specialized tool for
rendering maps using spatial data managed by Oracle Spatial and
Graph or Oracle Locator (also referred to as
Locator).MapViewer offers tools that hide the difficulty of
spatial data queries and cartographic rendering. It can also deploy
in any Java EE container such as web logic server or glass fish or
Tomcat [1].
The prime benefit of MapViewer is its incorporation with Oracle
Spatial and Graph, Oracle Locator, and Oracle Fusion
Middleware. MapViewer cares two-dimensional vector
geometries stored in Oracle Spatial and Graph, as well as
GeoRaster data and data in the Oracle Spatial and Graph
topology and network data models. Oracle MapViewer is also an
Open Geospatial Consortium (OGC)-compliant web map service
(WMS) and web map tile service (WMTS) server [1].
Figure 1: Basic flow of action in MapViewer [2]
• A Map rendering engine running in Oracle application
server: The rendering engine is visible as a servlet that
processes requests sent by client demands, draws the
proper data from spatial tables, and builds maps in a
variety of graphical formats (GIF,PNG, JPEG, or SVG),
which it then returns to the asking client. In addition to
the core mapping servlet, the Mapviewer server also
delivers a map cache server and a feature-of-interest
(FOI) server [3].
• Metadata Definitions: The Map definitions/ Metadata
are stored in the database. This is the place where we
can describe our map such as which table to use, how
maps should be rendered (Themes, Styles etc.) [3].
• Oracle Maps Application Programming Interfaces
(APIs): These APIs allow us to retrieve mapviewer
features from many different application development
environments. These APIs contain XML, Java, PL/SQL
and JavaScript (AJAX) interfaces. The Java API also
comprises JavaServer Pages (JSP) to ease the insertion
of maps in JSP [3].
• Map Builder Tool: A map builder is a standalone
program through which we are able to manage our
metadata stored in the database [3].
2. International Journal of Scientific and Research Publications, Volume 8, Issue 5, May 2018 22
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7706 www.ijsrp.org
Oracle MapViewer is a part of Oracle Fusion Middleware.
Oracle MapViewer is a complete package for map rendering and
display statistical data on the map. The main benefit of Oracle
MapViewer is that it can be used both as online as well as
offline, because it has a suite of Application Programming
Interfaces (API’s) and Oracle Map. Map builder tool is another
excellent component of Oracle MapViewer which makes it easy
to manage metadata (define styles, themes, base maps) in a
spatial database. We can display statistical data in a various way
from MapViewer. From map builder tool we can define different
advanced styles (Bar chart, Pie chart, Bucket, Heat maps) and
themes associated with those styles and then render them as a
vector layer on the map. We do not need to depend on other
service provider for map rendering because Oracle MapViewer
has Oracle Map, which served cached map image tiles to the
client. MapViewer provides a nice platform where we can easily
define our own map rendering styles, themes etc. using map
builder. Oracle MapViewer is not a commercial solution, so that
we can use it without any cost.
B. QGIS
QGIS is a software program with a graphical user interface to
deploy the functionalities of Geographical Information System
(GIS). The QGIS application provides several tools to provide an
easy way to display map layers, map legends and so on. QGIS
application is free cost tool to work with geospatial data and
visualized the geospatial data according to our own requirements.
Through QGIS application we are able to work with various
spatial databases and display statistical data from database on the
map. QGIS can load vector data from different data sources and
also from shape files.
Figure 2: QGIS user interface
Geographical Information System (GIS):
Geographical Information System (GIS) is becoming an
increasingly important tool in environmental management, retail,
military, police, tourism and many other spheres of our daily
lives [4]. GIS is more than just software, and it refers to all
aspects of managing and using digital geographical data. A
common feature of GIS is that they allow us to associate
information (non-geographical data) with places (geographical
data) [5]. GIS Systems work with many different types of
data. Vector data is stored as a series of x,y coordinate pairs
inside the computer’s memory and Raster data are stored as a
grid of values [5].
A GIS consists of:
• Digital Data –– the geographical information that we
will view and analyzed using computer hardware and
software [5].
• Computer Hardware –– computers used for storing data,
displaying graphics and processing data [5].
• Computer Software –– computer programs that run on
the computer hardware and allow us to work with
digital data. A software program that forms part of the
GIS is called a GIS Application [5].
With QGIS we can use separate shape file to produce vector
layers or we can access different spatial databases like PostGIS,
SpatiaLite and MS SQL Spatial, Oracle Spatial etc. So it is a
database independent solution for our case. We can add different
layers for zooming capability with statistical data for each layer.
If data is changed in the database then it will depicted within a
few seconds in the QGIS browser. QGIS can be used as a WMS,
WMTS, WMS-C or WFS and WFS-T client, and as a WMS,
WCS or WFS server.
C. AnyMap
AnyMap is a powerful product from AnyChart. AnyChart is a
flexible JavaScript (HTML5) based solution that allows
developers to embed interactive and great looking charts and
dashboards into any web, standalone or mobile project [6].
Whether we need to improve our website with better reporting,
embed dashboards into our on-premises and SaaS systems, or
build an entire new product, AnyChart covers all data
visualization needs. AnyMap is a very useful tool for side-by-
side reporting [6].
Figure 3: A simple Map Using AnyMap
We can use it online or offline. To use AnyMap we need to have
JavaScript file for each geographical location that we are
targeting to display on the map. We can also use JSON file. This
method is dependent to the AnyChart map data. The zoom in -
zoom out feature is obtain by drilldown map otherwise it is a
single layer representation with other features e.g. tooltips,
different types of charts etc. When we change anything in the
database then the change will not directly depict on the map
because the maps are rendered from JavaScript or JSON source
which needs to be updated when we have made any changes in
the database. To visualize the data for a specific location from
database we need to create JavaScript or JSON data file for that
specific location. AnyMap is not a database dependent
technology and it is a specialized tool for chart representations of
statistical data.
3. International Journal of Scientific and Research Publications, Volume 8, Issue 5, May 2018 23
ISSN 2250-3153
http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7706 www.ijsrp.org
III. SOLUTIONS FOR EMBEDDING STATISTICAL DATA
A. Embedding and Evaluating Statistical Data into Map using
Oracle MapViewer
To use Oracle MapViewer we have used glassfish server for
quick installation and use the pre deployed MapViewer and
mvdemo data. For map rendering we need to create styles,
themes and base maps using map builder which is used to define
Meta data into database. In this solution we do not need to
depend on third party map provider i.e. we can depend on our
own data and also we can work offline as well as including our
statistical data into map along with different features.
A work flow that we have used here is given bellow:
Figure 4: Work flow of MapViewer implementation
To evaluate Oracle MapViewer with our requirements we will
use the data set for and also use statistical data for USA states,
cities. As we have prepared data and configured MapViewer,
now we can use MapViewer to explore some key features from
our requirements:
Display Map with Bar Chart
To represent statistical data as Bar Chart into map I have used
Non-Spatial Data Provider (NSDP) mechanism to join the results
of a database query (i.e. a JDBC vector layer) with content in an
xml document and display it.
Figure 5: Visualization of statistical data using NSDP mechanism
Display map with variable Buckets
To display the variable buckets i.e. different county colors based
on the total population of that county we need to create an
advanced style (variable buckets) from map builder and then
assign that style to a theme and then we can use it as a predefined
vector layer.
Figure 6: Visualization of static data with variable range bucket
Reflecting the metadata changes into the map
The tile layers that we have created using map viewer admin
console those tile layers are managed by the map tile server
which is a part of Oracle MapViewer. When a client is requesting
for a map then map tile server fetches the requested tile image
and store them and returns to the client.
Oracle maps have three dissimilar choices for storage the map
image tiles [7]:
• Store the tiles using the local file system
• Store the tiles in a database table. (currently not used)
• Stream the tiles directly without caching
I have used Stream without caching and it’s simply solved the
update problems. That means if we change anything in the
underlying database or metadata (Themes, base maps) then the
change will be depicted in a minute.To do this task, we need to
set the persistent_tiles attribute false in MapViewer while
creating a new tile layer. After making the tile layer as stream
without caching, now if we change anything in the database that
related with this tile, the change will be depicted.
Download Oracle Mapviewer Quick
start Kit with glassfish container
Install the glassfish server which has
mapviewer and mvdemo pre-deployed
on it
Configure the mapviewer according to
the mapviewer user’s guide
Download and import the mvdemo data
for demo examples
Run the mapviewer and mvdemo and
play around with examples
Load the shp file of Uganda map using
map builder
Define metadata (Styles, Themes, Base
maps) using Map builder
Display the map using mapviewer admin
console or using HTML5 to display the
map
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Figure 7: After changing the state abbreviation
B. Embedding and Evaluating Statistical Data into Map using
QGIS
To deploy our requirements with QGIS application we will
follow the work flow diagram as bellow:
Figure 8: Work flow of QGIS implementation
Web map using qgis2web plugin
Qgis2web generates a web map from our current QGIS project so
we can publish our project as a web map using qgis2web plugin.
To publish a the layers as a web map we need to navigate:
Save current project click web menu
select qgis2web menu
select Create web mapselect the necessary properties from the
following wizard select update preview
select export
When we have completed export successfully then the exported
map is saved in the default location.
Figure 9: A web map using qgis2web plugin
Create a package to convert SDO_GEOMETRY into
GEOJSON
So far we did not use any QGIS server or geoserver, we just
simply create the map and used qgis2web plugin to published the
map.qgis2web plugin create a folder and store all resources to
generate the map separately so that this folder is isolated from
QGIS and we can use that folder anywhere and run the html file
to access the map. So if we change any data in the database then
the change will not take effect until we create a new web map
using qgis2web plugin manually. But one of our main
requirements is to update the map automatically after any
changes in the backend database. We have three JavaScript files
which contain GEOJSON data. Our purpose is to update this data
source if any changes happen in the database because we need to
display the statistics data into map which are rendered from these
data source and other rendering resources will remain the
unchanged. To make these things happen we need to build a
package which will be responsible for converting the
SDO_GEOMETRY data into GEOJSON array from database
along with statistical data as properties. To execute the package
we need to run the following files [8]:
SQL>@ora2geojson.pkh
SQL>@ora2geojson.pkb
After running these two files we can make a query to run the
package and get the GEOJSON output from a specific table as
follow [8]:
SELECT ora2geojson.sdo2geojson('select * from states',Rowid,
GEOM) FROM states;
Where ‘states’ is the spatial table or view and GEOM is the name
of the spatial column. The ROWID is needed to collect the
attributes.
The output from the above query is looks like:
Figure 10: GEOJSON output from the package
Downloadin and Installing QGIS
Creating new project and managing data
sources using DB manager
Install the qgis2web plugin using plugins
manager
Add different layers and specify the styles
and other rules for displaying
Create the webmap using qgis2web plugin
Create a package to create the GEOJSON
data from SDO_GEOMETRY
Create a database job that perform the
conversion of SDO_GEOM to GEOJSON
periodically
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C. Embedding and Evaluating Statistical Data into Map using
AnyMap
To deploy our requirements using AnyMap we need to download
AnyChart installation package from
https://www.anychart.com/download/products/ .
We can also use AnyMap without downloading the installation
package. To continue our work we have followed a working flow
diagram as follow:
Figure 11: Work flow of AnyMap implementation
Drilldown Map
To achieve the zooming capability we have to use drilldown map
in AnyMap. In our case we have used statistical data for three
states and visualized them with drilldown capabilities from
AnyMap. To do this we have created two JavaScript file that
contains functions that returns the statistical data for that specific
states and counties.
Figure 11: Different stages of Drilldown Map
Dashboard
To represent the statistical data into map using AnyMap we have
to use dashboard technique which will display statistical data into
map as a chart or combo box. We can achieve the output as
follow [9]:
Figure 12: Dashboard in AnyMap
IV. CONCLUSION
MapViewer is a very powerful and specialized solution for
map rendering from Oracle spatial database with statistical data.
QGIS is another GIS tool to make maps from different spatial
databases or from single shape files with statistical data. AnyMap
is a JavaScript solution to represent the map from data files not
directly connected to the database. To determine the best solution
I have compared every solutions with each other based on
important criteria’s. I have described the comparison details in
table no. I bellow. From the comparison I would like to prefer
that the solution using Oracle MapViewer might be one of the
best solutions depending on the features and special criteria’s.
Compare with Oracle MapViewer the QGIS tool is easier to use
and it’s relatively simple to handle. Oracle MapViewer is a
specialized tool for representing statistical data into map and
works with spatial data. One major disadvantage is that it is not
database independent. More details for each solution is given in
the table I.
Download AnyChart Installation Package
Create Data Sorces
Adding required JavaScript files for display
a map
Using the installed package
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Table I: Comparison between three solutions based on
important features
ACKNOWLEDGMENT
At first all thanks goes to almighty creator who gives me the
opportunity, patients and energy to complete this study. I would
like to give thanks to Dr.-Ing. Mayer of the Faculty for
Informatics and Electrotechnic at University of Rostock and Mr.
Schippmann of the Mühlbauer ID Services, I have found always
immense support from them to keep my work on the right way.
Their doors were always open for me, when I have got myself in
trouble.
I would also like to give thanks to Ulf who is a professionally
adroit to guide me throughout my work. Without his passionate
participation and input, my research could not have been
successfully conducted.
Finally, I must express my very profound gratefulness to my
parents and to my wife for providing me with constant support
and encouragement during my years of study and through the
process of researching and writing this paper. This
accomplishment would not have been possible without them.
Thank you.
REFERENCES
[1] Fusion Middleware User's Guide for Oracle MapViewer, “Introduction to
MapViewer” available on-line at
https://docs.oracle.com/middleware/1213/core/JIMPV/
vis_start.htm#JIMPV1000
[2] Exploring Spatial, “MapViewer Componenets”, available on-line at
https://exploringspatial.wordpress.com/2014/05/25/is-oracle-mapviewer-a-
fit-for-me/
[3] Ravi Kothuri, Albert Godfrind, Euro Beinat, Defining Maps Using
MapViewer. In: Pro Oracle Spatial for Oracle Database 11g. Apress,
Apress, 2007,
ISBN: 978-1-59059-899-3
[4] A Gentle Introduction to GIS, “Preamble” , available on-line at
https://docs.qgis.org/2.18/en/docs/gentle_gis_introduction/preamble.html
[5] A Gentle Introduction to GIS, “Introducing GIS” , available on-line at
https://docs.qgis.org/2.18/en/docs/gentle_gis_introduction/introducing_gis.html
[6] AnyMap, “Overview”, available on-line at
https://www.anychart.com/products/anymap/overview/
[7] Fusion Middleware User's Guide for Oracle MapViewer, “Map Tile
Server”, available on-line at
https://docs.oracle.com/middleware/1213/core/JIMPV/
vis_omaps.htm#BACJGEFA
[8] Mapoholic, “Convert Oracle Spatial data to geojson”, available on-line at
https://mapoholic.wordpress.com/2015/08/30/convert-oracle-spatial-data-
to-geojson/
[9] AnyMap, “Maps Gallery”, available on-line at
https://www.anychart.com/products/anymap/gallery/Maps_in_Dashboard/St
ates_of_United_States_Dashboard_with_MultiSelect.php
AUTHORS
Author – Mohammad Liton Hossain, M.Sc in Computational
Science and Engineering in University of Rostock, Germany.
Lecturer at Institute of Science and Technology (IST),
Bangladesh. E-mail: litu702@gmail.com
Corresponding Author - Dr.-Ing. Holger Meyer is Chair of
Database and Information Systems at University of Rostock.
E-mail: holger.meyer@uni-rostock.de
Feature’s Mapviewer QGIS AnyMap
Does the solution
depend on other
service providers
(e.g. maps
provider)? Are
there any fees?
No.
No cost
No
No cost
Yes
Depends on
our services
Online or offline Mainly
Offline also
can be used
as online
Offline Offline or
Online
Can I apply
statistics data into
the map?
YES YES YES
Is it possible to
color regions
based on
statistical data of
a map?
YES
Can I zoom into
the map to get
more details (e.g.
borders of sub
counties)?
YES YES YES. Using
drilldown
method
Update the Map
if Meta Data
(Base map,
Themes…) is
changed
Map is
updated
instantly.
Map is
updated
periodically.
Possible to
make it
periodically
Database
independent
No YES YES
Does the solution
support online
access to statistics
databases?
YES YES NO
Specialized for
map rendering?
YES YES YES
Depict charts in
the map
Both Bar and
Pie
YES YES. As
dashboard
Does the solution
fit into the Java
Universe
YES YES YES