Examples Gallery
Explore what’s possible with lokigi through these hands-on examples.
Site Location Optimization
Examples relating to optimizing the combination of sites to meet a single objective - for example, minimising the average travel time of individuals to a site.
Basic site problem examples
Minimizing the average travel time to sites
Site location problems where certain sites must be included
Site location problems without geometry and mapping
Evaluating an existing site combination
Site Closure Problems
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Different Problem Types
P-center, P-median, and p-median variants
The Maximal Coverage Location Problem (MCLP)
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Advanced Solver Options
When a problem is too big for evaluating and storing every combination, lokigi offers other options.
Solving larger problems - the limits of brute force
Advanced Algorithms - Greedy Search and Greedy Randomized Adaptive Search Procedure (GRASP)
Speeding up brute force with n_jobs
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Advanced Solution Evaluation
Considering equity in our solutions
Marginal Gains - Exploring the Impact of the Number of Sites in a Solution
Regional vs. Demand-Weighted Coverage
Two-Step Floating Catchment Area (2SFCA) Accessibility
Site Utilisation
Population Impact vs Baseline
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Multiobjective Solution Evaluation
Comparing Solutions
Multiple Travel Matrices
Multiple Demand Matrices
Searching on a Custom Metric
Multiobjective Optimisation with Weights
Multiobjective Optimisation with Pareto Fronts
Optimizing for Site Cost
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Exploratory Data Analysis
Lokigi provides a range of helpers to explore the patterns present in demand, equity and other data.
Identifying Areas of Interest with Hotspots, Coldspots and Quadrant Maps
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Obtaining Travel Times
Generating your own travel time matrices
Generating your own travel time matrices for routing problems
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