Introduction: Cancer is preventable in some cases if exposure to environment carcinogens is avoided. In Colombia, Cundinamarca is a department with highest increases in mortality rate and at Sibaté municipality, residents have expressed concern about the disease increase. In the global environmental health field, georeferencing applied to health outcomes research, has been successful with valid results. The study proposed using Geografical Information tools to generate spatial and temporal analysis, in order to make visible the cancer behavior in Sibaté and provide reliable data to generate hypothesis about cases of clusters linked to environmental influences. Objective: Obtain incidence and prevalence of cancer in Sibaté population, and georeference cases over a period of 5 years based on state records. Methodology: Descriptive exploratory cross-sectional study over all cases of cancer diagnosed between 2010 to 2014, recorded in the Municipal Health Secretariat´s files. We included only those who had permanent residence in the municipality and were diagnosed with cancer between 2010 to 2104. On each case we looked for gender, age, socioeconomic status, educational level, occupation and marital status. In order to generated the time analysis we used date of diagnosis and to obtained the space analisys we used residence address, type of cancer and geographic coordinate generated with Garmin GPS equipment. Also, maps were created and The information was processed with Epi Info 7. Results: Were found 107 cancer cases registered Secretaría de Salúd de Sibaté, 66 women, 41 men. Without gender division, 30. 93% of the population had reproductive system cancer, 18. 56% digestive and 17. 53% integumentary system. Two large spatial cluster cases in the studied area were presented, one at Pablo Neruda neighborhood with 12 cases (21. 05%) and other in Downtown Sibaté with 38 cases (66. 67%). Conclusion: The Geographic analysis on the exposure, time and space of cancer cases, was confirmed as a tool to generate hypotheses about epidemiological patterns of cancer clusters associated with environmental factors.
