Tag: application

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How to Detect User in A Web Application

There are several ways to detect the user in a web application, it depends on the requirements and the architecture of your application. Here are a few examples:

  1. Cookies: Cookies are small text files stored on the client’s browser. You can use them to store a unique identifier for the user, such as a user ID or session ID. When the user makes a request to your server, you can read the cookie and use the identifier to look up the user in your database.

  2. JWT (Json Web Token) : JWT is a compact and self-contained way for securely transmitting information between parties. JWT can be used to identify the user, you can store user information inside the JWT and attach it to the client’s browser. When the client makes a request, it will send the JWT with the request and the server can decode the JWT to get the user information.

  3. IP Address: The IP address is a unique numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication. You can use the IP address to identify the user, however, it has some limitations as IP addresses can change and be shared among multiple users.

  4. Fingerprinting: Fingerprinting is a technique that uses various browser and device attributes to create a unique identifier for the user. These attributes can include browser type, screen resolution, installed fonts, and more. Fingerprinting can be used to identify the user, but it has limitations as some attributes can be easily spoofed.

  5. Mobile Device ID: If you are developing a mobile app, you can use the unique device ID provided by the operating system to identify the user.

It’s important to keep in mind that all of these options have their own advantages and limitations, you should consider the security, privacy, and scalability aspects when choosing the way to detect the user.

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Know about 4D GIS and its application area

Each kind of map conveys information about a particular place or event. They show how people and places are related. 4D GIS assembles a large volume of information in a simple manner to provide better decision making. Since big data and high data volumes are now changing the way we capture, process, and analyze information, it is essential to harness geospatial data in the simplest way to understand the dynamics of geographical phenomena.

4D GIS is becoming an important tool in monitoring various changes like change in weather patterns or the progress of construction work overtime. It integrates 2D,3D, and the time. For quality simulation and communication, industries are using a 4D model that illustrates changes with the use of animation tools.

Application areas of 4D GIS

Many industries are now adopting 4D GIS because of its better communication and decision-making capabilities. Government, healthcare, aerospace & defence, construction, and others can take it as input. They can use 4D to predict and display events across time. For example, knowledge of the past behaviour of any weather event could help in finding its outcomes in the current situation. Whereas other data like satellite imagery only shows the present scenario. Commonly, the time statistical probability methods are used to predict & display events across time.

Machine learning techniques like neural networks enable real-time integration of spatial and temporal data. As the flow of digital information is increasing exponentially, 4D data models are becoming crucial to capture dynamic processes.

Innovative 4D system to describe the time-event relationship

GIS technologies not only helps in visualizing space across time but also predict vulnerabilities to avoid any disaster. To gather dimensions across time, 4D GIS is an essential tool that provides a fourth dimension in the form of time. The other three dimensions of GIS represent the coordinates.

Joining spatial and temporal components of geographical data highlights the rich aspects of the event. The increase of location-based services and the emergence of technologies like big data analytics and AI are some of the key drivers of 4D GIS.

4D GIS market study 2020

“4D Geographic Information System (GIS) market” report added to ResearchAndMarket.com’s offering has covered many topics related to 4D GIS. The report describes the hardware, Software, Data, and methods as the four main components of 4D GIS. It has also marked the main 4D GIS potential regions that are North America, Europe, Asia-Pacific, and the rest of the world.

According to the report, the growing use of IoT and the concept of GIS of things, regulatory and legal issues with Geospatial technology are some of the market drivers and challenges of 4D GIS.

GIS is a mean to forecast various events, and adding a temporal dimension improves its infrastructure development ability. This new mapping concept is on the way to save time and improve human well-being. It will provide a variety of information from several fields to support multi-purpose uses of data. Time is an important dimension that fulfils long-term project goals to extend services for urban life & development.

Source: The Geospatial

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Development of Web-Based Application for Shapefile Coordinate System Conversion for Malaysia

Elysonia Alim and Shahabuddin Amerudin

Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
Email: elysoniaalim@gmail.com; shahabuddin@utm.my

KEYWORDS: coordinate system, conversion, shapefile

ABSTRACT: It is difficult to process GIS vector data when they are not aligned with one another. The need for different coordinate systems rose from the fact that some coordinate systems are better fitted to describe the geographical phenomenon occurring in a specific area. However, even commercial software had been proven to have questionable accuracy in coordinate system conversions. The purpose of this study is to develop a web application capable of converting the coordinate system of a GIS data format such as a shapefile for Peninsular Malaysia. The web application named Coordinate Conversion Application (CCA v1.1) was developed using Django 2.0 with Python 3.6 and is capable of five-coordinate transformations namely WGS84 to GDM2000 (forward and backward), WGS84 to MRSO (old) (forward only), MRSO (old) to Cassini (old) (forward and backward). Results obtained were compared with existing software such as GDTS v4.01 and ArcGIS 10.3, and analysis shows that CCA v1.1 has achieved satisfactory accuracy.

Topic: Web GIS Applications

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