השוואת שיטות

	Visual Preference Survey	Public Participation GIS (PPGIS)
תחום	Urban Studies	Urban Studies
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1994	2006
הוגה השיטה	Anton C. Nelessen	Renee Sieber (synthesizing 1990s NCGIA work)
סוג	Survey eliciting community design preferences by rating images	Participatory integration of local spatial knowledge into GIS
מקור מכונן	Nelessen, A. C. (1994). Visions for a New American Dream: Process, Principles, and an Ordinance to Plan and Design Small Communities. American Planning Association. ISBN: 9780918286888	Sieber, R. (2006). Public participation geographic information systems: A literature review and framework. Annals of the Association of American Geographers, 96(3), 491–507.
כינויים	VPS, Visual Preference Analysis, Image Preference Survey, Nelessen Visual Preference Survey	PPGIS, Participatory GIS, PGIS, Volunteered Geographic Mapping
קשורות	4	4
תקציר	A visual preference survey (VPS) elicits a community's design preferences by asking residents to rate a curated set of photographs — of streets, buildings, public spaces, and landscapes — on a simple numeric scale. Developed and popularized by planner Anton Nelessen, it turns the often vague question of what a community wants its environment to look like into comparable scores, revealing which images people reward, which they reject, and where they agree or disagree. The averaged ratings give planners a defensible visual brief grounded in resident preference rather than professional taste.	Public participation GIS (PPGIS) is a family of practices that bring the spatial knowledge, values, and priorities of ordinary people into geographic information systems, so that community perspectives sit alongside expert and official data in planning and decision-making. Synthesized as a field by Renee Sieber in 2006, it ranges from facilitated workshops where residents mark up paper maps to web mapping platforms where thousands of people drop points marking places they value or fear. Its aim is both technical and political: to enrich spatial analysis with local knowledge and to widen who gets to shape decisions about place.