What is this course about?
The GIS industry is currently growing rapidly, many innovations and technologies are developed in solving spatial problems, and are able to produce decisions that help an organization become more successful. However, what has not changed is every decision in solving spatial problems in this world through spatial analysis.
"Analysis Spatial 1: Understanding Where" is the initial course of the course on mastering spatial analysis using the ArcGIS Platform. In this course, you will learn the concept of spatial, also answering and understanding the question of "Where?" related to spatial, so it can be applied to your daily work. You will also do the hands-on using various ArcGIS tools for exploration, analysis, and producing reliable information from spatial data.
Visualisation, Editing and Analysis Course
Safety measures for training courses
While courses in our training facility have resumed, we want to assure you that the wellbeing of our trainees and staff remains Esri Indonesia’s highest priority.
As the COVID-19 situation continues to develop, strict safety measures and guidelines as recommended by the Ministry of Health are being adhered to for all training conducted.
All computer equipment and desks are disinfected before class commences and during the lunch break, while seats are placed and marked at least 1-metre apart, in accordance with official Safe Distance Measures. Acrylic partitions have also been installed between each desk.
Masks are mandatory throughout training, and alcohol hand sanitisers and anti-bacterial wet wipes will be available.
Your temperature will be taken before commencement. For your safety, you will be asked to return home and see a doc if your temperature exceeds 37.5deg.
What skills will I learn?
After completing this course, you will be able to:
- Mastering definitions and principles regarding spatial analysis
- Being able to map a location both on the desktop (ArcGIS Pro) and the web (ArcGIS Online)
- Able to make comparative maps based on variations and patterns from spatial data
- Able to understand changes in spatial data