Spatial analysis is a type of geographical analysis which seeks to explain patterns of human behavior and its spatial expression in terms of mathematics and geometry, that is, locational analysis. It’s an exploratory process whereby we attempt to quantify the observed pattern then explore the processes that may have generated the pattern.
Geospatial analytics uses data from all kinds of technology — GPS, location sensors, social media, mobile devices, satellite imagery — to build data visualizations for understanding phenomena and finding trends in complex relationships between people and places. This geo-referenced data can be applied to nearly any happening on earth.
The visualizations can include maps, graphs, statistics and cartograms that show historical changes and current shifts. This can make predictions easier and more accurate.
Benefits of geospatial analytics include:
- Engaging insights — Seeing data in the context of a visual map makes it easier to understand how events are unfolding and how to react to those events.
- Better foresight — Seeing how spatial conditions are changing in real time can help an organization better prepare for change and determine future action.
- Targeted solutions — Seeing location-based data helps organizations understand why some locations and countries, such as the United States, are more successful for business than others.
GIS Spatial Analysis
By using spatial analysis, we solve location problems basically using math in maps. It blends geography with modern technology to measure, quantify, and understand our world. Spatial analysis uncover patterns we’ve never seen before by studying their topological, geometric, and geographic properties.
- Detect and quantify patterns
- Understand and describe location and events
- Determine Relationship
- Find location and paths
- Market Prediction
Using both raster and vector anaylysis methods to illustrate draught over the period.
spatial interaction model identifies the hot spots for crimes
Land Use Planning
GeoPlanner for ArcGIS is a planning app used to evaluate opposing or competing land uses at local and regional scales..
Data Analytics Services
Our data analytics and exploration services help you gain insights from your data through:
- Exploratory sessions that will delve into large datasets to explore potential relationships held within;
- Analytical sessions that can yield solid patterns and evidence-based outcomes;
- Visualisation of outputs that will help transform a large and inaccessible dataset into a visual tool that can be used to support decision making.
Spatial Data Types:
- Data referenced to a point. E.g. Location information of a restaurant
- Data referenced to a path. E.g. Path information from my home to University
- Data referenced to an area. E.g. information about a region bounded by a polygon