{"id":13193,"date":"2024-05-30T19:02:41","date_gmt":"2024-05-30T11:02:41","guid":{"rendered":"https:\/\/fass.nus.edu.sg\/geog\/?page_id=13193"},"modified":"2026-05-19T15:53:28","modified_gmt":"2026-05-19T07:53:28","slug":"gis-spatial-analysis","status":"publish","type":"page","link":"https:\/\/fass.nus.edu.sg\/geog\/continuing-education-and-training\/gis-spatial-analysis\/","title":{"rendered":"GIS Spatial Analysis"},"content":{"rendered":"\n

\n\t\t\tGIS Spatial Analysis\t<\/h2>\n\t

Date<\/h3>

13-14 May 2027<\/p>\n

(Dates TBC)<\/p>\n\t

Duration<\/h3>

14 hours<\/p>\n\t

Mode of Delivery<\/h3>

Face-to-Face<\/p>\n\t

Course Fees<\/h3>

S$1,700*<\/p>\n\t

*before GST. Full fees apply for this upcoming course run.<\/em><\/p>\n\t

GIS stands for Geographic Information Systems. Using computer hardware and GIS software, we can display, query, analyse, and interpret geospatial data in visual ways, revealing patterns and relationships in the geographic world. GIS enables us to understand what has happened, what is happening, and what will happen in geographic space. Geospatial science has become increasingly important in developing solutions to global challenges such as sustainability, food security, healthcare management, and even rapid urbanisation, among others, particularly with advancements in technologies like satellite systems and GPS-enabled devices.<\/p>\n\n\n\n
Note: All new participants who wish to attain the Professional Certificate should follow the course sequence starting with the course,\u00a0Introduction to GIS Basics and Data Visualization<\/a>. This course is the third in the sequence. Participants should complete the programme within this upcoming cycle, as the curriculum will be revamped after the cycle completes in May 2027. All new participants should not extend their candidature period beyond one programme cycle.\nThe course may be rescheduled if the class enrollment does not meet the minimum of 15 participants.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\t\t\t\n\t\t\t\t\t\t\tRegister Now\n\t\t\t\t\t<\/a>\n\t\t\t\n\t\t\t\t\t\t\tUser Guide for Learners (Individual Applicants\/Non-Company Sponsored)\n\t\t\t\t\t<\/a>\n\t\t\t\n\t\t\t\t\t\t\tUser Guide for Company \u2028(Company-Sponsored Applicants) \n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t

What You Will Learn<\/h4>\n\t\t\t\t\t

This short course covers the following components:<\/p>\n

    \n
  1. Introduction to Basic Spatial Analysis methods and Spatial Statistics\/Network Analysis\/GeoAI Analysis<\/li>\n
  2. Hands-on practicals of Spatial Analysis<\/li>\n<\/ol>\n

    Objectives<\/strong>
    Students will gain knowledge of geospatial data analytics. They will gain skills for analysing location-based data such as point pattern analysis and road network analysis. This course will cover common data analytics knowledge and skills demanded by the geospatial industry. This course will prepare students for learning deeper GIS topics and performing advanced industry-relevant GIS (Geographic Information Systems) tasks such as advanced spatial big data analytics and decision-making.<\/p>\n\t\t\t\t\t\t\t\t\t\t

    Who Will Benefit<\/h4>\n\t\t\t\t\t