Unraveling the influence of essential climatic factors on the number of tones through an extensive database of languages in China

<h2><strong>Code</strong></h2> <ul> <li><strong>01TextGrid.</strong><strong>p</strong><strong>raat<br></strong>Segment and label the sound files in all folders under the directory</li> <li><strong>02Extract voice quality data.praat<br></strong>Extract voice quality parameters, including jitter, shimmer, HNR, CPP, H1-H2, H1-A1, H1-A2, and H1-A3</li> <li><strong>03Extract pitch data.praat<br></strong>Extract pitch data, including maximum, minimum, range, mean, upper quartile, lower quartile, pitch inter-quartile range, and median absolute deviation</li> <li><strong>04Correlation Analysis and Mantel Test.R<br></strong>Correlation tests between different variables and create correlation plots.</li> <li><strong>05GAMM_Voice quality~Climate factors.R<br></strong>Examine the relationship between climate factors and voice quality</li> <li><strong>06GAMM_Tone ~ Voice quality.R<br></strong>Examine the relationship between voice quality and the number of tones</li> <li><strong>07GAMM_Tone~Climate factors.R<strong><br></strong></strong>Examine the relationship between climate factors and the number of tones</li> <li><strong>08GAMM_Pitch~Climate factors.R<br></strong>Examine the relationship between pitch variation, the number of tones, and climate factors</li> </ul> <h2><strong>Data</strong></h2> <p>All extracted data files are in the data folder.</p> <ul> <li><strong>1525dataset.csv<br></strong>The file includes data for 1,525 language varieties&nbsp;with the following information:&nbsp;geographic location names&nbsp;(column A), linguistic classification and ASJP name&nbsp;information&nbsp;(columns B-E), longitude and latitude and information&nbsp;(columns F-G), number of tones&nbsp;(column H), Pitch information (columns&nbsp;I-J), voice quality information&nbsp;(columns&nbsp;K-R), climate information&nbsp;(columns&nbsp;S-X)</li> <li><strong>Geographical distance.csv<br></strong>The geographic distances between 1,525 language varieties were calculated using the Delaunay-Dijkstra method</li> <li><strong>Language distance.csv<br></strong>The language&nbsp;distances between 1,525 language varieties were calculated using the ASJP method.</li> <li><strong>S</strong><strong>pecifichumiditydif</strong><strong>.csv<br></strong>Specific humidity difference dataset for the locations of 1,525 language varieties</li> <li><strong>Tonedif.csv<br></strong>Tone difference dataset among 1,525 language varieties</li> <li><strong>Voice quality data extracted using different methods.csv<br></strong>Voice quality data for 1,115 dialectal variants, analyzed at both the lexical level and the vowel "a" level. Columns B&ndash;I present voice quality parameters extracted from the vowel, while columns J&ndash;Q provide data extracted from the lexical items.</li> </ul>