Porosity analysis beyond global descriptions of pore volume and surface area are needed to differentiate the unique pore systems present in the growing databases of porous materials. The presented approach to extract pore isotherms and a pore- centred adsorption environments can be readily extended to more porous materials by choosing a robust set of parameters, such as bandwidth and cluster size and distance. Moreover, this approach is not limited to in silico investigations, for example using in situ X-ray diffraction, adsorbate positions relative to these pore locations can provide experimental pore isotherms, demonstrated previously. The approach detailed here opens new opportunities for the automated development of pore isotherms to produce kernels to enable the characterisation of pore size distributions based on isotherms alone. Furthermore, by opening these tools to the research community the diverse collection of porous structures being developed can be examined in greater detail perhaps uncovering new counterintuitive and temporal adsorption processes.