Method of learning of estimation coefficients of the population in a reference zone, comprising the implementation by means of data processing of a piece of equipment of steps of: (a) For each one of a plurality of relay antennas defining a first partition into Voronoi cells of said reference zone, obtaining, from a server of a telephone operator, the value over time for said Voronoi cell associated with the relay antenna of a first mobile telephony parameter that represents the presence of subscribers of the telephone operator and of a second mobile telephony parameter that represents the average activity of the subscribers of the telephone operator; (b) For each block of a set of blocks defining a second partition of said reference zone, calculating the value over time for the block of said first mobile telephony parameter, according, for each Voronoi cell that has a non-zero intersection with said block, to: ∘ the value of said first mobile telephony parameter obtained for said Voronoi cell; ∘ the surface of said intersection with respect to the surface of the entire said Voronoi cell; and ∘ the population of said block with respect to the populations of the blocks that have a non-zero intersection with said Voronoi cell; calculating a value over time of the second mobile telephony parameter averaged over all the Voronoi cells; (c) Learning the coefficients of a model that links said first parameter and second mobile telephony parameter to the population, using a learning database that represents the population in each block of said set; said model being of the form ρ ( t ) = α ( λ, t ) σ ( t ) β ( λ ,t) , where ρ ( t ) is the population density, σ ( t ) the first mobile telephony parameter, and λ ( t ) the second parameter, with α λ t = a α λ t + b α and β λ t = a β λ t + b β , where a α , b α , a β , b β are the learned coefficients. (a) For each one of a plurality of relay antennas defining a first partition into Voronoi cells of said reference zone, obtaining, from a server of a telephone operator, the value over time for said Voronoi cell associated with the relay antenna of a first mobile telephony parameter that represents the presence of subscribers of the telephone operator and of a second mobile telephony parameter that represents the average activity of the subscribers of the telephone operator; (b) For each block of a set of blocks defining a second partition of said reference zone, calculating the value over time for the block of said first mobile telephony parameter, according, for each Voronoi cell that has a non-zero intersection with said block, to: ∘ the value of said first mobile telephony parameter obtained for said Voronoi cell; ∘ the surface of said intersection with respect to the surface of the entire said Voronoi cell; and ∘ the population of said block with respect to the populations of the blocks that have a non-zero intersection with said Voronoi cell; calculating a value over time of the second mobile telephony parameter averaged over all the Voronoi cells; ∘ the value of said first mobile telephony parameter obtained for said Voronoi cell; ∘ the surface of said intersection with respect to the surface of the entire said Voronoi cell; and ∘ the population of said block with respect to the populations of the blocks that have a non-zero intersection with said Voronoi cell; (c) Learning the coefficients of a model that links said first parameter and second mobile telephony parameter to the population, using a learning database that represents the population in each block of said set; said model being of the form ρ ( t ) = α ( λ, t ) σ ( t ) β ( λ ,t) , where ρ ( t ) is the population density, σ ( t ) the first mobile telephony parameter, and λ ( t ) the second parameter, with α λ t = a α λ t + b α and β λ t = a β λ t + b β , where a α , b α , a β , b β are the learned coefficients. <EOS>