AICTE has approved for the inclusion of Geospatial subject in GATE and NET examination

https://m.facebook.com/story.php?story_fbid=130999798715945&id=102620938220498

Ministry of Science & Technology

AICTE approves inclusion of Geospatial as a subject in GATE and NET exam

Posted On: 23 SEP 2020 2:07PM by PIB Delhi

Students competing for the popular National Eligibility Test (NET) for Junior Research Fellowship (JRF) and lectureship in Indian universities and colleges, including IITs and NITs and Graduate Aptitude Test in Engineering (GATE) for JRF in CSIR laboratories, can now opt for Geospatial as a subject.

The All India Council of Technical Education (AICTE) has approved for the inclusion of Geospatial subject in GATE and NET examination on the recommendation of the National Geospatial Task Force Report 2013 under the Chairmanship of former ISRO Chairman, Dr. K. Kasturirangan.

Department of Science and Technology (DST) as an organisation and many professionals have highlighted the need for Geospatial subject especially in GATE and NET examination at different forums.

Dr. K. C. Tiwari (Retd. Col), Department of Science and Technology's Geospatial Chair Professor, Centre of Geoinformatics, Delhi Technological University, had made sincere efforts for inclusion of Geospatial Subject in the GATE and NET examination, and the decision was an outcome of DST's insistence and his hard work.

This will benefit the increasing number of students who are taking up geospatial as a subject at different levels and help in the evolution of Geospatial Ecosystem in the country

The Natural Resources Data Management System (NRDMS) under DST is an interdisciplinary research programme which promoted R&D in emerging areas of geospatial science, technology, and its applications to area-specific problems. Over the years, it has successfully demonstrated utilities of geospatial technologies in decision making and developed capacity for geospatial data and information management at state, district, and local levels at pilot scale.

Now, it is evolving into National Geospatial Programmeforcatalyzing the national geospatial ecosystem and promoting geospatial science and technology solutions, capacity building, entrepreneurship, and international cooperation for sustainable sociology-economic development at all levels of governance and also stressing on including geospatial subject at different levels.

"Geospatial science and technology is a rapidly evolving subject that forms the backbone of a plethora of planning, development and governance activities with unprecedented opportunities both in the government and private sectors. Swamitva, a recent scheme launched by the Prime Minister is a good example to map rural inhabited lands using drones and latest survey methods. The scheme among other things will streamline planning, revenue collection and property rights and thus have a huge positive impact on securing loans by the owners and dispute resolution related to properties," said Prof Ashutosh Sharma, Secretary, DST.

*****

NB/KGS/(DST Media Cell)

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to 1832 , when Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report Rapport sur la marche et les effets du choléra dans Paris et le département de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in 1854 , when John Snow inv...

GIS data continuous discrete ordinal interval ratio

In Geographic Information Systems (GIS) , data is categorized based on its nature (discrete or continuous) and its measurement scale (nominal, ordinal, interval, or ratio). These distinctions influence how the data is collected, analyzed, and visualized. Let's break down these categories with concepts, terminologies, and examples: 1. Discrete Data Discrete data is obtained by counting distinct items or entities. Values are finite and cannot be infinitely subdivided. Characteristics : Represent distinct objects or occurrences. Commonly represented as vector data (points, lines, polygons). Values within a range are whole numbers or categories. Examples : Number of People : Counting individuals on a train or in a hospital. Building Types : Categorizing buildings as residential, commercial, or industrial. Tree Count : Number of trees in a specific area. 2. Continuous Data Continuous data is obtained by measuring phenomena that can take any value within a range...

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology: - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants. - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis: - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis. - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping: - Photozincography development allows maps to be split into layers for vegetation, water, etc. - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography: - Waldo Tobler's 1959 publication details using computers for cartography. - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

Disaster Management

1. Disaster Risk Analysis → Disaster Risk Reduction → Disaster Management Cycle Disaster Risk Analysis is the first step in managing disasters. It involves assessing potential hazards, identifying vulnerable populations, and estimating possible impacts. Once risks are identified, Disaster Risk Reduction (DRR) strategies come into play. DRR aims to reduce risk and enhance resilience through planning, infrastructure development, and policy enforcement. The Disaster Management Cycle then ensures a structured approach by dividing actions into pre-disaster, during-disaster, and post-disaster phases . Example Connection: Imagine a coastal city prone to cyclones: Risk Analysis identifies low-lying areas and weak infrastructure. Risk Reduction includes building seawalls, enforcing strict building codes, and training residents for emergency situations. The Disaster Management Cycle ensures ongoing preparedness, immediate response during a cyclone, and long-term recovery afterw...

Data Generalization in GIS

Data generalization in GIS is the process of simplifying complex geographic data to make it suitable for visualization and analysis at specific map scales. It reduces unnecessary details while preserving the overall patterns and essential characteristics, ensuring that the map remains clear and interpretable at different zoom levels. Key Concepts and Terminologies Purpose of Data Generalization : To simplify spatial data for better visualization and usability at smaller scales. To prevent maps from becoming cluttered or unreadable due to excessive detail. To maintain the essence of geographic features while omitting minor details. Example : On a world map, a small island may be represented as a single point or omitted, while on a local map, it may appear with detailed boundaries. Key Data Generalization Techniques Simplification : Definition : Reduces the number of vertices or points in a line or polygon, removing minor details while retaining the general shap...

Vineesh V, Geography

Search This Blog