Aus unseren Neuerwerbungen – Digital Humanities 2022.3

Visu­al­iza­tion of Time-Ori­ent­ed Data
Time is an excep­tion­al dimen­sion that is com­mon to many appli­ca­tion domains such as med­i­cine, engi­neer­ing, busi­ness, sci­ence, biog­ra­phy, his­to­ry, plan­ning, or project man­age­ment. Under­stand­ing time-ori­ent­ed data enables us to learn from the past in order to pre­dict, plan, and build the future. Due to the dis­tinct char­ac­ter­is­tics of time, appro­pri­ate visu­al and ana­lyt­i­cal meth­ods are required to explore and ana­lyze them.
This book starts with an intro­duc­tion to visu­al­iza­tion and a num­ber of his­tor­i­cal exam­ples of visu­al rep­re­sen­ta­tions. At its core, the book presents and dis­cuss­es a sys­tem­at­ic view of the visu­al­iza­tion of time-ori­ent­ed data. This view is struc­tured along three key ques­tions. While the aspects of time and asso­ci­at­ed data describe what is being visu­al­ized, user tasks are relat­ed to the ques­tion why some­thing is visu­al­ized. These char­ac­ter­is­tics and tasks deter­mine how the visu­al­iza­tion is to be designed. To sup­port visu­al explo­ration, inter­ac­tion tech­niques and ana­lyt­i­cal meth­ods are required as well, which are dis­cussed in sep­a­rate chap­ters. The con­cepts explained in this book are illus­trat­ed with numer­ous exam­ples.
A large part of this book is devot­ed to a struc­tured sur­vey of exist­ing tech­niques for visu­al­iz­ing time and time-ori­ent­ed data. Over­all, 101 dif­fer­ent visu­al­iza­tion tech­niques are pre­sent­ed on a per-page basis; each of these self-con­tained descrip­tions is accom­pa­nied by an illus­tra­tion and cor­re­spond­ing ref­er­ences. This sur­vey serves as a ref­er­ence for sci­en­tists con­duct­ing relat­ed research as well as for prac­ti­tion­ers seek­ing infor­ma­tion on how their time-ori­ent­ed data can best be visu­al­ized in order to gain valu­able insights.
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Cor­pus-based approach­es to reg­is­ter vari­a­tion
As the first col­lec­tive vol­ume to focus exclu­sive­ly on cor­pus-based approach­es to reg­is­ter vari­a­tion, this book pro­vides an exhaus­tive account of the range and depth of pos­si­bil­i­ties that the domain of reg­is­ter vari­a­tion in Eng­lish has to offer. It illus­trates reg­is­ter vari­a­tion analy­sis in dif­fer­ent the­o­ret­i­cal frame­works, such as Prob­a­bilis­tic Gram­mar, Sys­temic Func­tion­al Lin­guis­tics, and Infor­ma­tion The­o­ry, and pro­pos­es a new frame­work with­in the Text Lin­guis­tic Approach: the con­tin­u­ous-sit­u­a­tion­al ana­lyt­i­cal frame­work. Sev­er­al of the con­tri­bu­tions apply Mul­ti-Dimen­sion­al Analy­sis to cor­pus data in order to unveil reg­is­ter (dis)similarities, while oth­ers rely on logis­tic regres­sion mod­els and peri­odiza­tion tech­niques based on Kull­back-Leibler diver­gence. The vol­ume includes both inter-reg­is­ter and intra-reg­is­ter vari­a­tion analy­sis of a wide spec­trum of vari­eties, speak­ers and peri­ods: British and Amer­i­can Eng­lish, learn­er vari­eties, L2 vari­eties, and also con­tains diachron­ic stud­ies cov­er­ing ear­ly and late Mod­ern Eng­lish. This broad scope should be a source of inspi­ra­tion for any­one inter­est­ed in his­tor­i­cal and ongo­ing reg­is­ter vari­a­tion in a vast range of vari­eties of Eng­lish world­wide.
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