Isbn: 9798194699018 - feng shui for renters & small spaces: the haven method for apartments, studios, and home offices — no renovations, no landlord approval: 1 (3 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - You don't own the walls. You can still own the energy. Most feng shui books assume you can knock down a wall, repaint every room, or bury a compass reading three layers deep in theory before you're allowed to move a single chair. This one assumes the opposite: a lease you can't alter, a landlord who won't return your calls, and a studio apartment where the bed, the desk, and the dinner table are sometimes the same six feet of floor. The HAVEN Method is a five-step framework built specifically for renters and small-space dwellers - no structural changes, no permission required, no $40 crystal you don't understand the point of. - Harmonize the entry - the mouth of qi, fixed in twenty minutes- Anchor in command - the single placement rule that does more than any cure- Vitalize with the Five Elements - using what you already own- Ease the flow - clutter, light, and the small dead corners every rental has- Nurture with a seasonal reset - ninety minutes, four times a year Inside, you'll find room-by-room guidance for studios, one-bedrooms, shared apartments, and home offices; the classical bagua explained without the jargon; honest, dual readings that separate what's structural from what's superstition; oracle-bone character origins that show you where these ideas actually came from; and composite case studies drawn from real client walkthroughs. This isn't a book about buying things. It's a book about arranging what you have so your home stops working against you - starting tonight, ending with your security deposit fully intact. Includes: the free HAVEN Audit (a 7-point self-assessment), 20+ diagrams, a Kua-number appendix for personal direction-finding, and quarterly reset checklists you'll actually use. …

Condición: New. Print on Demand.