<正>This paper presents a spatially-aware ecological model in Lake Okeechobee watershed using Geographical Information Systems(GIS), Remote Sensing and Global Positioning Systems(GPS).Prior to its development,various legacy ecological models had described current and historical ecological patterns with scanting mathematical tools.The major deficiency was lacking spatial awareness in those models,which in turn resulted in missed trends and patterns.It also made difficult,if impossible,to replicate the studies in other regions for such purposes as model validations.HyperGIS is a GIS that links to other spatial and/or non-spatial information systems.Introducing HyperGIS to traditional ecological models enable models’spatial awareness by integrating space and field based sensors,positioning devices,digital elevation models,and visualization interface to the core modeling functionality. First,the advance of sensor technology made it truly revolutionary to use rainfall radar NEXRAD data as real-time input,complemented by RadarSat’s remotely sensed images.RadarSat data have shown great effectiveness for assessing ecological impacts during recent hurricane and drought seasons in South Florida and the Indian Ocean tsunami relief missions.Meanwhile,connections to Supervisory Control and Data Acquisition(SCADA)system allows access to a large-scale distributed measurement and control system of water networks.On the other hand,GPS helped not only pin-point species’precise location, define systems boundary and constraints,but also play a critical role in tracking movement and evolution.Most importantly,the core of HyperGIS is an assembly of agents capable of collecting real-time data, managing corresponding models and optimizing outputs,all without interfering or burdening the information providers and modeters, resulting in a more efficient information flow.Last but not least,the front end interface built in DHTML,Javascript and Active Server Page (ASP).External users can take advantage of Really Simple Syndication (RSS)feed to use our models outputs as inputs fur their own models. The result of such integration is a one-stop source for the current, historical and hypothetical Lake Okeechobee conditions with dynamic contents for ecological evaluation and simulation.It supports multiple modeling methods to calculate the lake systems’conditions in various formats and to predict systems behavior under given management scenarios,valuable both to the researchers for better understanding of the real world situation and to the managers for better decision making process.Compared to their non-spatial counterparts,spatially-aware models show not only what would happen,but also where it happens, as well as where it might happen next.