A look back on how Christchurch City Council made the transition to Esri as part of their Spatial Strategy Plan that spanned several years. This presentation discusses the challenges and opportunities of integrating an Esri Enterprise Environment with a legacy Hexagon (Intergraph) environment while initiating a self-service business model and the journey forward to a single GIS platform.

A major factor to the success of the Spatial Strategy Plan is implementing an end to end solution when publishing corporate layers to ArcGIS Server to multiple environments allowing standardisation, improved timeframe delivery, and more importantly freeing up time for staff to focus on developing creative and informative web solutions for both their peers and citizens alike.

This presentation is for anyone either involved in administrating an Esri Enterprise platform within their organisation or interested in concepts and methodologies used by Christchurch City Council to support a highly complex hybrid GIS Platform solution .

South Africa is a developing country with a set of unique challenges regarding growth and the development of infrastructure and resources to cater for the changing requirements.

In many cases, there is a lack of up-to-date authoritative data to support decision making and policy formulation and we need to develop innovative ways to understand demographic and socio-economic dynamics.

Here, geospatial technologies are crucial to the development of this understanding through its unique ability to show context, patterns, and relationships across the landscape. This geographical approach allows one to model data and metrics based on a variety of inputs.

A good example is the requirement to estimate population growth based on housing counts and land use changes between official censuses, hereby supporting service delivery and commercial planning. The informal nature of the growth can be problematic, especially in terms of disaster risk planning and GIS plays a key role in understanding the bigger picture and being able to communicate this to role players.

The presentation will focus on use case and applications of ArcGIS in this unique environment.

Understanding Risk: Standardization Using Population Grids
This work was kicked off in February 2021 following the All of Government Covid-19 Pandemic, looking to aggregate data in a more spatially consistent way to better represent the human landscape in relation to roads. We needed to enable the aggregation of sensitive information to enable the broad sharing of necessary data during times of nationwide and catastrophic emergency events. The NZTA Waka Kotahi Geospatial Intelligence Team initially reviewing the use of Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 from the Center for International Earth Science Information Network - CIESIN - Columbia University published by NASA Socioeconomic Data and Applications Center (SEDAC) in 2018 through the International Organization for Standardization (ISO). However, the usefulness of this was hampered by the lack of granularity in the grids, as well as the unlikelihood of adoption across New Zealand as a whole.
In discussions with StatsNZ, they indicated that work had started on the production of New Zealand specific grid system. Following their 2022 prototype release, NZTA provided feedback and has now adopted the used of their 2023 finalized product. The Geospatial Intelligence Team have now developed a standard operating procedure (SOP) and accompanying automation in a proof of concept (POC) using our National Resilience Assessment Tool data and analyse the associated risks based on survey data collected for Damage Assessment - Hydrological, Geological, and Climate Change risks. The initial POC has used a 500 m grid and will continue to apply it to 250m and 1km grids in the next iteration. However, the intention is to employ this process through the broad implementation of this aggregation through to all geospatial relevant dataset with the hopes to enable the wider open by default sharing of data across all areas of the Agency.