Turning patterns into possibilities
Scientific thinking & expertise to turn complex data into clear paths forward.
Scientific thinking & expertise to turn complex data into clear paths forward.
Population and community viability analysis, species distribution modeling, habitat suitability modeling, landscape connectivity analysis, and predictive forecasting. Understand what is happening in your systems, why, and what to do about it.
From simple maps to spatial optimisation, including site selection, habitat mapping, connectivity pathways, and remote sensing. Answer any location-based question with confidence.
Monitoring design, outcome monitoring, change detection, trend analysis, and environmental reporting. Know how your interventions are working and where to focus next.
Robust transparent analysis, data visualisation, statistical modeling, machine learning, and AI solutions. Make sense of messy data and turn it into dependable evidence.
Interactive tools and dashboards, Shiny apps, automated reporting, and data pipelines. Build systems that deliver long-term value from your data assets.
Literature reviews, research design, technical assistance, training, and specialist input for larger projects. Access expert support when and how you need it.
Emergent Data Analytics is run by Dr. Craig Simpkins, an ecologist and environmental data scientist with over a decade of experience in ecological research, government, and consulting.
Emergent exists to bridge the gap between good science and practical action, helping councils, consultancies, and conservation organisations fully utilise their data. Our aim is to provide research-quality analyses and insights in a way that is clear, practical, and delivered within real-world timeframes.
A comprehensive baseline assessment of forest ecosystems on Te Kawau Tumarō-o-Toi (Kawau Island), prepared for Auckland Council ahead of a major pest eradication programme. The report documents current vegetation condition across the island's dominant forest types, providing a reference point against which ecological recovery can be measured as wallaby and possum populations are removed.
View Full PublicationSimpkins, C.E., et al. (2025). Evaluating the effects of two newly emerging plant pathogens on northern Aotearoa-New Zealand forests using an individual-based model. Ecological Modelling, 500, 110938.
Read PaperBodner, K., et al. (2021). Bridging the divide between ecological forecasts and environmental decision making. Ecosphere, 12(12), e03869.
Read PaperSimpkins, C.E., et al. (2018). Assessing the performance of common landscape connectivity metrics using a virtual ecologist approach. Ecological Modelling, 367, 13-23.
Read PaperReady to collaborate? Reach out to discuss how Emergent Data Analytics can help.