Spatial analysis and modelling.

We offer a variety of GIS-based services, from small bespoke mapping and spatial-data visualization, to complex geostatistical analyses. We provide cartographic services, including data manipulation, data capture, image processing and visual display.

We use an integrated approach, combining remotely sensed data (e.g., satellite imagery, drone, echo sounder), GIS, geostatistics and machine learning, to detect and monitor the physical characteristics of a geographic area under study, and monitor changes. We also have experience in species distribution modelling, habitat suitability, network analysis and ecological connectivity for least cost path identification. Our advanced geospatial analyses have applications in disciplines like geography, ecology, animal and plant biology, microbiome, molecular biology, parasitology, public health, urban planning, wildlife conservation, microbial ecology, bushfire and emergency management etc. Visit our “Projects” section for some examples of applications.


With the steady reduction in costs and the introduction of high performance instruments (including small benchtop DNA sequencers), data generation is projected to grow exponentially, in the near future. Consequently, data analysis is expected to become the bottleneck for genomic and proteomic R&D projects for many end-users. The analysis of sequence data relies on up-to-date bioinformatic tools, proper computer hardware and streamlined computational processes. These resources and capabilities are not always available to many end-users who are therefore unable to take full advantage of the power of DNA sequencing. While several commercial laboratories offer data-acquisition services, the analysis of the generated datasets is often limited to a basic report, created automatically by the instrument, under default settings. This leaves the client with no controls over the analysis, and no understanding of the methods adopted. At Econumerics, we tailor the analysis of the data to suit your specific needs and fit the objectives of your project. We can adjust the stringency and the approach, so that you are in full control of the data analysis process and the results are more meaningful to your business or relevant to your policies.

Statistical analyses.

For data-interpretation, we boast over 20 years of experience matured in basic and applied research projects. We don’t simply generate the data, but help you gaining insights from the results, backing up your strategic decisions, and understanding the statistical significance and implications for your business. Data interpretation suits clients from the Academic or Corporate sector and is essential to make informed business decisions.


We analyse genomic data for biomarker scientists, crop and animal breeders, geneticists, wildlife researchers, health care professionals.

Parentage testing and pedigree analysis.

We use individual multilocus genotypes at a number of codominant or dominant marker loci, to perform sibship and parentage joint assignments. We assist crop and animal breeders in estimating full- and half-sib relationships, assigning parentage, inferring mating system (polygamous/monogamous) and reproductive skew, in both diploid and haplo-diploid species.tworks and infer horizontal gene transfer (HGT) events.

Microbiome and environmental DNA.

We process Next-Generation-Sequencing-based microbiome data to survey microbial communities from any biological or environmental sample (eDNA), and generated through a variety of techniques including Shotgun metagenomic sequencing, rRNA sequencing, metatranscriptomics.

Phylogenetics and Phylogenomics.

Using molecular sequences, we reconstruct phylogenetic trees, evolutionary relationships, reticulation networks and infer horizontal gene transfer (HGT) events.

Socio-Economic Analyses for Sustainable Development.

Econumerics also specialises in helping public authorities to tackle socio-economic challenges and provide solutions in the fields of climate adaptation, environmental protection, economic analysis of non-market valuation and other areas related to climate change policies and sustainable energy management. The economics-based tools allow us to develop objective methodologies for tracking the size and nature of public and private climate finance, but also design proactive climate adaptation and environmental conservation strategies. We have the capacity to provide high quality research on diverse issues within the broader field of environment and natural resource economics as well as development economics. Some of our specific research areas include:

  • Non-market valuation of environmental resources including designing surveys, collecting data, processing and analysing data;
  • Development and adaptation of General Equilibrium Model for Energy-Economy-Environmental interaction GEM E3;
  • Analysis of market instruments for energy related environmental policy, such as taxes, subsidies, regulations and pollution permits;
  • Climate change, adaptation and mitigation strategies in urban and regional area;
  • Sustainable management of renewable resources (including implementation and development of offshore wind farm);
  • Non-renewable resources management and use conflicts;
  • Imperfect land markets, tenure insecurity and agricultural productivity;
  • Climate variability, resource scarcity and conflicts.

Work With Us

At Econumerics we strive to constantly expand our capabilities, and the breadth and quality of our services.

We are seeking a range of professionals, to pursue new ideas rapidly and successfully. If you are interested in joining our team, please use the form below to contact us.

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