It is argued that the fundamental framework of current GIS is mainly designed from the land/landscape oriented perspective.With the deveopment of transportation

communication

network

and computers

human beings play more and more important roles in the man-landscape ecosystems

and the traditional GIS

which is land/landscape oriented or place based

is not enough to deal with human highlighted geoprocesses.For instance

the current commercial GIS can not well support the modeling of disease spatiotemporal transmission among people.Thus

human oriented GIS is to study the representation

computation

simulation and analysis of human distribution in time and space

and of the spatiotemporal characteristics and laws of social and economic organizations and activity behavior within geographic environments.From the perspective of geovisualization

and on the basis of the human oriented GIS concept

this paper discusses human-oriented geovisualization.Humans in human-oriented geovisualization is classified into three types

namely System User

Social Human

and Knowledge Human respectively in terms of users of GIS or visualization systems

studied objective social behavior and activities of people in man-land relation systems

and representation of spatial cognition and geospatial knowledge of people.A conceptual framework of human-oriented geovisualization is then addressed based on the three kinds of human.Collaborative visualization and egocentric visualization are discussed according to system user oriented geovisualization.In view of social human oriented geovisualization

the paper presents the latest research on visualization of space-time path

visualization of crowd simulation

and visualization of social network.In terms of knowledge human oriented visualization

knowledge visualization is related to the theory and methodology of geo-diagram and geospatial information Tupu.The paper finally explores the key issues and technologies in human oriented GIS and geovisualization from aspects of ontology

information acquiring technique

data organization

representation model

visual representation methods

and subject concept.