Spatio - Temporal Analysis of Temperature in Indian States

Title

Spatio - Temporal Analysis of Temperature in Indian States

Creator

Chandra J.; Singhal A.; Joseph A.

Description

Data, the oil of the century, is available in multiple formats for various applications. It is collected, stored, and distributed across different use cases in various forms. Researchers study, analyse and use data for numerous analyses and predictions. There is an increase in demand and consideration of spatiotemporal data analysis. Analysing and obtaining insights from the spatiotemporal data are carried out by various researchers. Many investigations have started investigating the strategies for spatial-transient examination and applying spatial-transient information investigation procedures to different areas. Analysing spatiotemporal data has been an advanced task; with the help of various Python libraries, Spatio Temporal dataset about the temperature of states of India is analysed to support the harsh climate near the region of tropic of cancer. Across the decade, there has been a cyclic trend in the temperature, which keeps toggling yet increases over time. It remains a question of worry and genuine concern to predict climatic conditions. Spatio-temporal analysis of temperature in Indian states involves analysing the spatial and temporal variations in temperature across different states in India. The study can use various statistical and geographic information systems (GIS) tools. Spatio-temporal analysis of temperature in Indian states can provide valuable insights into the changing climate patterns in different regions of the country, which can be helpful for policymakers, researchers, and other stakeholders to make informed decisions related to climate change mitigation and adaptation. 2023 American Institute of Physics Inc.. All rights reserved.

Source

AIP Conference Proceedings, Vol-2909, No. 1

Date

2023-01-01

Publisher

American Institute of Physics Inc.

Coverage

Chandra J., Department of Computer Science, Christ University, Bangalore, India; Singhal A., Department of Computer Science, Christ University, Bangalore, India; Joseph A., Department of Data Science, Christ University, Lavasa, India

Rights

Restricted Access

Relation

ISSN: 0094243X; ISBN: 978-073544750-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1063/5.0182295

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179879621&doi=10.1063%2f5.0182295&partnerID=40&md5=b2402104d6cd06a7b9fdb26ef9a9f6de