img Leseprobe Leseprobe

Mary Anerley: A Yorkshire Tale

R. D. Blackmore

EPUB
1,99
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

DigiCat img Link Publisher

Belletristik / Historische Romane und Erzählungen

Beschreibung

R. D. Blackmore's 'Mary Anerley: A Yorkshire Tale' is a captivating novel set against the rugged backdrop of Yorkshire. Through rich descriptions and vivid imagery, Blackmore paints a compelling tale of love, betrayal, and redemption. The novel is written in a lyrical and descriptive style, characteristic of Blackmore's romantic works. The narrative is interspersed with regional dialect, adding authenticity to the setting and characters. 'Mary Anerley' is a window into the social and cultural landscape of 19th-century Yorkshire, offering readers a glimpse into the lives of its inhabitants and the challenges they face. As with many of Blackmore's novels, the natural world plays a prominent role, emphasizing the connection between the characters and their environment. Blackmore's attention to detail and depth of character development make 'Mary Anerley' a truly immersive reading experience. Through his storytelling, Blackmore sheds light on the complexities of human relationships and the resilience of the human spirit. Fans of historical fiction and romantic literature will find 'Mary Anerley' to be a compelling and rewarding read, showcasing Blackmore's talent as a master storyteller.

Kundenbewertungen

Schlagwörter

Victorian England, British author, historical romance, classic literature, romantic relationships, pastoral setting, Yorkshire dialect, social class dynamics, rural community, deep characterization