Consider the map of India given below : The map, read with the index provided, refers to the distribution of

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Q: 30 (IAS/1994)
Consider the map of India given below : The map, read with the index provided, refers to the distribution of

question_subject: 

Geography

question_exam: 

IAS

stats: 

0,30,111,36,26,49,30

keywords: 

{'map': [0, 7, 2, 0], 'annual rainy days': [0, 1, 0, 0], 'winter rains': [0, 1, 0, 1], 'india': [8, 1, 7, 13], 'index': [0, 2, 4, 7], 'distribution': [0, 0, 1, 0], 'temperature': [0, 1, 1, 7]}

The distribution of mean temperature refers to the average temperature across different regions within a given area, in this case, India. By analyzing and mapping the mean temperature across India, we can observe the variations in temperature patterns and identify regions that tend to be warmer or cooler on average.

In India, the mean temperature can vary significantly from region to region due to various factors such as latitude, altitude, proximity to water bodies, and geographical features. Coastal areas, for example, tend to have milder temperatures due to the influence of oceanic currents, while regions at higher altitudes or farther from the coast may experience cooler temperatures.

The map depicting the distribution of mean temperature would likely show different colors or shading to represent temperature ranges. Warmer regions would typically be depicted with warmer colors (e.g., red, orange), while cooler regions would be represented with cooler colors (e.g., blue, green). This visual representation helps to highlight temperature gradients and variations across the country.

Such a map can be useful for understanding the climatic conditions in different parts of India, identifying temperature patterns, and studying factors that influence regional temperature differences. It can assist in agricultural planning, weather forecasting, and analyzing the overall climate of the country.

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