From 75dab34ec74d297fcea47c66fb0d4bcf3ac3d4ff Mon Sep 17 00:00:00 2001 From: shannonkjones Date: Tue, 27 Oct 2020 16:08:05 -0400 Subject: [PATCH 1/8] Updated query order of pests page --- pops/views/case_study.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pops/views/case_study.py b/pops/views/case_study.py index 1d57a86d..efdb346f 100644 --- a/pops/views/case_study.py +++ b/pops/views/case_study.py @@ -459,7 +459,7 @@ class PestListView(TemplateView): template_name = 'pops/pest_list.html' def get_queryset(self): - return PestInformation.objects.prefetch_related('pest_set__case_study').order_by('common_name') + return PestInformation.objects.prefetch_related('pest_set__case_study').order_by('-host_type', 'common_name') def get_context_data(self, **kwargs): # Call the base implementation first to get the context From 198387180c5187dcacfba2100c752ea27165daf5 Mon Sep 17 00:00:00 2001 From: shannonkjones Date: Tue, 27 Oct 2020 16:08:21 -0400 Subject: [PATCH 2/8] Fixed typos and grammar issues on main pages --- .../PoPSModel/PestsDispersingFromItoJ.svg | 2 +- .../OSF_OverviewOfPoPSPlatform.png | Bin 1649917 -> 1677740 bytes ..._OverviewOfPoPSPlatform_transparent_bg.png | Bin 1602735 -> 1631797 bytes .../about_pages/applying-management.html | 16 +- templates/about_pages/host-mapping.html | 44 +- .../about_pages/weather-reclassification.html | 28 +- templates/base.html | 2 +- templates/get-pops.html | 41 +- templates/landing.html | 223 ++++----- templates/pops/pest_list.html | 2 +- templates/publications.html | 59 ++- templates/team.html | 8 +- templates/the-pops-model.html | 442 ++++++++++-------- templates/the-pops-platform.html | 164 ++++--- 14 files changed, 601 insertions(+), 430 deletions(-) diff --git a/static_custom/images/PoPSModel/PestsDispersingFromItoJ.svg b/static_custom/images/PoPSModel/PestsDispersingFromItoJ.svg index 118c869d..16cd8659 100644 --- a/static_custom/images/PoPSModel/PestsDispersingFromItoJ.svg +++ b/static_custom/images/PoPSModel/PestsDispersingFromItoJ.svg @@ -1 +1 @@ -cell jcell iPests/pathogens dispersing from cell i to cell j \ No newline at end of file +Ψijt = number of infested hosts in cell j as a result of pests/ pathogens from cell icell jcell iPests/pathogens dispersing from cell i to cell j \ No newline at end of file diff --git a/static_custom/images/PoPSPlatform/OSF_OverviewOfPoPSPlatform.png b/static_custom/images/PoPSPlatform/OSF_OverviewOfPoPSPlatform.png index 7bcf9d1c6fdada7ac29c558963948f07f2d0d61c..162f84ce93b767d5ae2aea5b338e835a1203445e 100644 GIT binary patch delta 1346944 zcmY&gbwE>X`NJ>qC(c1w8RFLi*AzjirQblrf!&Ia; zM(0NS4!+;(_x+wfIQ+4l^PK07=en=^dUiBnSyW-|8*nDzYye3m>7x{2LWj}qEYuJRQU!B zt--p5A4vHOzdt&kV0m^TI`K~Q#8^Yh7I4&eCoxe9H?uICh?ZitUahk^;9pGfj`m(% zqxw>q;}wbRlTq}OH}jyP&3OF+x-y-5>E|K@0y*}K->@ZTicBX55~8Cn`I;CSN)^vz zaX8fNiGspH*v^Qai?15zEyZgSbFy_BsC!%1%$c&5nR6}M>eAn+FL;j4Lu~OGLrL_<_nRoJsrl*SlLbGY;#PL_$ 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    How does PoPS apply management in the model?

    PoPS allows two types of management:

    1. Host removal (removes hosts from the cell)
    2. -
    3. Pesticide application (converts infected hosts to resistant hosts for a given duration)
    4. +
    5. Pesticide application (converts infected hosts to resistant hosts for a given + duration)
    - The efficacy of management application can range from 0-100%. The model also permits both management + The efficacy of management application can range from 0 to 100%. The model also permits both management types to be applied simultaneously.

    Below are examples of how PoPS applies management to a cell: @@ -31,10 +32,13 @@

    How does PoPS apply management in the model?

    src="{% static 'images/AboutPages/management_types.svg' %}" alt="PoPS allows two types of management: host removal and pesticide application."> -

    Management input as polygons is converted to raster management based on percent cell coverage. The “% - removal” applied (a-e) is multiplied by the percent of the cell covered by the management as shown below - for the overall percentage applied in a cell: for example, using the 25% management cell below and the - 50% management in (a, above) would result in 12.5% of the cell being managed.

    +

    + Management input as polygons is converted to raster management based on percent cell coverage. The “% + removal” applied (a–e, above) is multiplied by the percent of the cell covered by the management (as + shown below) to determine the overall percentage applied in a cell: for example, a cell with 50% + management applied (a, above) but only 25% management coverage (below) + would be calculated as having 12.5% of its hosts managed. +

    How does PoPS use host maps?

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    Each application of PoPS uses a customized host map that provides the locations of target hosts in each grid cell across the modeled landscape.

    - Currently, PoPS users are responsible for loading host maps to run the model. Below are some resources for downloading host maps: -

    + Currently, PoPS users are responsible for loading host maps to run the model. Below are some resources + for downloading host maps: +

    @@ -43,6 +55,6 @@

    Future host maps in PoPS


    We are currently developing a host mapping module to automate the creation of host maps in PoPS. - + {% endblock %} \ No newline at end of file diff --git a/templates/about_pages/weather-reclassification.html b/templates/about_pages/weather-reclassification.html index be48404a..707b3a40 100644 --- a/templates/about_pages/weather-reclassification.html +++ b/templates/about_pages/weather-reclassification.html @@ -16,21 +16,27 @@

    Reclassifying Weather in PoPS

    Reclassifying weather data to use PoPS


    -

    Currently, PoPS users are responsible for obtaining raw weather data to calibrate PoPS. Below are some resources for weather data:

    -
    - +

    How does PoPS incorporate weather in the model?


    During calibration of a case study for PoPS, all raw temperature and precipitation values are first - converted to indices ranging from 0–1 to describe their impact on a species’ ability to survive and + converted to indices ranging from 0 to 1 to describe their impact on a species’ ability to survive and reproduce; the transformations, tailored for each species, are saved in the PoPS database.

    How does PoPS incorporate weather in the model?

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z)NM8vus$D5zd+vp=QOGjH z`V*#*^rn21U|8*kh4pNUn#E+

    alt="The PoPS Platform organization">

    Due to the modular nature of PoPS, weather components can be turned on or off. For example, a case study - of Sudden Oak Death (SOD) used a polynomial function to convert daily Daymet (Thornton et al. 2017) + of Sudden Oak Death (SOD) used a polynomial function to convert daily Daymet (Thornton et al. 2017) temperature and a threshold of 2.5 mm to convert daily Daymet precipitation into weekly weather coefficients ranging from 0 to 1 - (Meentemeyer et al. 2011).

    + (Meentemeyer et al. 2011).

    Sudden Oak Death weather reclassification

    In contrast, a case study of Spotted Lanternfly (SLF) used a step function to convert daily Daymet - temperature into a monthly coefficient ranging from 0 to 1. Because SLF spread does not have a - dependence on precipitation, that component of the model was turned off.

    + temperature into a monthly coefficient ranging from 0 to 1. Because SLF spread does not + depend on precipitation, that component of the model was turned off.

    - diff --git a/templates/get-pops.html b/templates/get-pops.html index 96e93c10..ab33b86b 100644 --- a/templates/get-pops.html +++ b/templates/get-pops.html @@ -20,7 +20,7 @@

    Get PoPS

    How can I use PoPS?


    -

    PoPS is open-source and freely available for anyone to use. There are two ways you can run PoPS:

    +

    PoPS is open source and freely available for anyone to use. There are two ways you can run PoPS:

    Option 1: Download PoPS

    @@ -29,15 +29,16 @@

    Option 1: Download PoPS

    src="{% static 'images/Computer_screen_with_coding.png' %}" alt="The PoPS Model">

    Users may download the PoPS model code to run on their own computer. PoPS packages are available - in the following languages: + in the following environments:

    • R
    • -
    • GRASS GIS
    • +
    • GRASS GIS (includes desktop interface)
    • Python (coming soon)

    @@ -64,8 +65,8 @@

    Option 2: Use the PoPS Dashboard

    -
    + updates +
    @@ -76,13 +77,11 @@

    Option 2: Use the PoPS Dashboard

    Available PoPS Packages


    -

    PoPS 1.0 is currently available for download in R and GRASS GIS. Both versions of PoPS are wrappers - around the PoPS Core C++ library for the Pest or Pathogen Spread Model. +

    PoPS 1.0 is currently available for download in R and GRASS GIS. Both + versions of PoPS are wrappers + around the PoPS Core C++ library for the Pest or Pathogen Spread Model.

    -

    All versions of PoPS provides the same functionality. The version you choose - depends on your personal coding language preference. - A Python version is under development and will be released soon. -

    R version

    @@ -91,11 +90,12 @@

    R version

    alt="PoPS for R">
    @@ -105,13 +105,16 @@

    GRASS GIS version

    alt="PoPS for GRASS GIS">
    -
    +
    diff --git a/templates/landing.html b/templates/landing.html index 8c54c74c..2ceffe6d 100644 --- a/templates/landing.html +++ b/templates/landing.html @@ -24,7 +24,7 @@

    What is PoPS?


    -

    The flexible, customizable PoPS (Pest or Pathogen Spread) model is a framework +

    The flexible, customizable PoPS (Pest or Pathogen Spread) model is a free and open-source framework for modeling the spread of any pest or pathogen across a landscape.

    @@ -56,122 +56,127 @@

    What is PoPS?

    -
    -
    -
    - PoPS is easy to use. +
    +
    +
    + PoPS is easy to use. +
    +
    +
    +

    Easy-to-use PoPS Forecasting Platform

    +
    +

    Coming soon! + The PoPS Forecasting Platform features an easy-to-use PoPS Dashboard Interface, the PoPS Database, + and the PoPS model running in the cloud. NO programming experience required! +

    +

    With the easy-to-use PoPS Dashboard Interface, users can: +

      +
    • Run PoPS scenarios
    • +
    • Compare management interventions
    • +
    • Save data in the cloud
    • +
    +

    + +

    Experienced coder? + Install the R or GRASS GIS package to run PoPS on your + own machine with more customizations and command-line control. +

    -
    -

    Easy to use PoPS Forecasting Platform

    -
    -

    Coming soon! - The PoPS Forecasting Platform features an easy to use PoPS Dashboard Interface, the PoPS Database, - and the PoPS model running in the cloud (NO programming experience required!). -

    -

    With the easy-to-use PoPS Dashboard Interface, users can: -

      -
    • run PoPS scenarios
    • -
    • compare management interventions
    • -
    • save data in the cloud
    • -
    -

    - -

    Experienced coder? - Install the R or GRASS GIS package to run PoPS on your - own machine with more customizations and command-line control. -

    -
    -
    -
    -
    -

    Why PoPS?

    -
    -
    -

    Flexible and modular

    -

    Various components such as weather effects and long-range dispersal -can be easily turned on or off in the model, depending on the system being modeled.

    -
    -
    -

    Fast

    -

    - With considerable optimization and parallelization, PoPS runs quickly - (up to 10x's faster than traditional models), - even for landscapes with millions of cells.

    -
    -
    -

    Easy to use

    -

    With its modular design, PoPS can model a wide range - of pests and pathogens with considerably shorter set-up time than creating - a model from scratch.

    -
    - +
    +
    +

    Why PoPS?

    +
    +
    +

    Flexible and modular

    +

    Various components such as weather effects and long-range dispersal + can be easily turned on or off in the model, depending on the system being modeled.

    +
    +
    +

    Fast

    +

    + With considerable optimization and parallelization, PoPS runs quickly + (up to 10x faster than traditional models), + even for landscapes with millions of cells.

    +
    +
    +

    Easy to use

    +

    With its modular design, PoPS can model a wide range + of pests and pathogens with considerably shorter setup time than creating + a model from scratch.

    +
    -
    -
    -
    -

    What can PoPS model?

    -
    -

    PoPS can be used to model most pests or pathogens. So far, PoPS has been used - to model plant pests and diseases, and animal diseases.

    -

    PoPS is modular, - meaning that various components - (e.g., weather effects or long-range dispersal) can be included or excluded from the model - as necessary (through intuitive on-off switches on the interface) depending on the drivers - that influence the species of interest.

    -

    Learn more about what PoPs has modeled:

    -
    -
    -
    - PoPS case studies -
    -
    -
    -
    -
    -
    - Safeguarding plant health and agriculture -
    -
    -
    -

    Making a Difference

    -
    -
    - North Carolina State University -
    -

    We started PoPS in 2018 at the - - Center for Geospatial Analytics - at North Carolina State University, and in collaboration with the - - USDA Animal and Plant Health Inspection Service (APHIS) - . -

    -

    It is our hope that PoPS will help researchers, decision-makers, and stakeholders make decisions - about how to most effectively manage emergent pests and pathogens that - threaten our landscapes and food supply.

    + +
    +
    +

    What can PoPS model?

    +
    +

    PoPS can be used to model most pests or pathogens. So far, PoPS has been used + to model plant pests and diseases, and animal diseases.

    +

    PoPS is modular, + meaning that various components + (e.g., weather effects or long-range dispersal) can be included or excluded from the model + as necessary (through intuitive on-off switches on the interface) depending on the drivers + that influence the species of interest.

    +

    Learn more about what PoPs has modeled:

    + +
    +
    +
    + PoPS case studies +
    +
    +
    +
    +
    + Safeguarding plant health and agriculture +
    +
    +
    +

    Making a Difference

    +
    +
    + North Carolina State University +
    +

    We started PoPS in 2018 at the + + Center for Geospatial Analytics + at North Carolina State University, and in collaboration with the + + USDA Animal and Plant Health Inspection Service (APHIS) + . +

    +

    It is our hope that PoPS will help researchers, decision-makers, and stakeholders make decisions + about how to most effectively manage emerging pests and pathogens that + threaten our landscapes and food supply.

    +
    -
    -
    -
    -

    Thank you for the support we've received!

    -

    The PoPS team would like to acknowledge the grant and funding agencies that have supported our - mission:

    -
    - PoPS Funding -
    -
    +
    +
    +

    Thank you for the support!

    +

    The PoPS team would like to acknowledge the funding agencies that have supported our + mission:

    +
    + PoPS Funding +
    +
    +
    {% endblock %} \ No newline at end of file diff --git a/templates/pops/pest_list.html b/templates/pops/pest_list.html index 88a02be7..9efa23c5 100644 --- a/templates/pops/pest_list.html +++ b/templates/pops/pest_list.html @@ -157,7 +157,7 @@
    ({{pest.scientific_name}})
    {% endcomment %}
    {% if pests_without_case_studies %} -

    The following pests and pathogens that have been modeled using PoPS.

    +

    The following pests and pathogens have been modeled using PoPS.

    {% for pest in pests_without_case_studies %}
    diff --git a/templates/publications.html b/templates/publications.html index 9a5837e8..2a800d3a 100644 --- a/templates/publications.html +++ b/templates/publications.html @@ -16,15 +16,68 @@

    Publications

    Publications using PoPS


    -

    Petrasova, A., Gaydos, D. A., Petras, V., Jones, C. M., Mitasova, H., & Meentemeyer, R. K. (2020). Geospatial simulation steering for adaptive management. Environmental Modelling & Software, 133, 104801.

    +

    Jones, C., Jones, S. Petrasova, A., Petras, V., Gaydos, D.A., Skrip, M.M, Takeuchi, Y., Bigsby, K., & Meentemeyer, R.K. (In press). Iteratively forecasting invasions with PoPS and a little help from our friends. Frontiers in Ecology and the Environment.

    +

    Petrasova, A., + Gaydos, D. A., Petras, V., Jones, C. M., Mitasova, H., & Meentemeyer, R. K. (2020). Geospatial + simulation steering for adaptive management. Environmental Modelling & Software, 133, 104801. +

    +

    How to cite PoPS


    -

    If you use publish work using PoPS, we ask that you cite PoPS using:

    +
    +

    + If you use this software or code, please cite the following papers: +

    + + +

    + In case you are using the automatic management feature in rpops or the steering version of + r.pops.spread (from the branch steering), please cite also: +

    + +

    + In addition to citing the above paper, we also encourage you to reference, link, and/or acknowledge + specific version of the software you are using for example: +

    +
      +
    • + We have used rpops R package version 1.0.0 from + https://github.com/ncsu-landscape-dynamics/rpops. +
    • +
    +
    -
    +
    {% endblock %} \ No newline at end of file diff --git a/templates/team.html b/templates/team.html index e2b30ded..91f16773 100644 --- a/templates/team.html +++ b/templates/team.html @@ -21,7 +21,7 @@

    Team

    It has rapidly grown into a talented team of field scientists, computer and data scientists, and government organizations - dedicated to changing the way the globe manages pests and pathogens. + dedicated to changing the way pests and pathogens are managed.
    @@ -49,7 +49,7 @@
    {{ member.title }}
    {{ member.department }},
    {{ member.organization}}
    -

    {{ member.role }}

    +

    {{ member.role }}

    {% empty %} @@ -83,7 +83,7 @@
    {{ member.title }}
    {{ member.department }},
    {{ member.organization}}
    -

    {{ member.role }}

    +

    {{ member.role }}

    {% empty %} @@ -117,7 +117,7 @@
    {{ member.title }}
    {{ member.department }},
    {{ member.organization}}
    -

    {{ member.role }}

    +

    {{ member.role }}

    {% empty %} diff --git a/templates/the-pops-model.html b/templates/the-pops-model.html index 67254122..3e512a26 100644 --- a/templates/the-pops-model.html +++ b/templates/the-pops-model.html @@ -11,132 +11,172 @@ {% block content %}
    - -
    -
    -

    What is the PoPS model?

    -
    -
    -
    -
    - The PoPS Model Equation -
    -
    -
    -

    The flexible, customizable PoPS (Pest or Pathogen Spread) model simulates reproduction, dispersal, and - establishment of pests (e.g. insects) and pathogens (e.g. diseases) through space and time. The PoPS model is the power-house behind the - PoPS Forecasting Platform.

    -
    -
    -

    For every location in a landscape, at each time step, the PoPS model predicts the number of infested or infected hosts (Ψ). To better understand how the model works, let's take a detailed look at the equation governing the PoPS model.

    -
    -
    -
    -
    -

    The PoPS Equation

    -
    -

    To break down how the model works, let’s consider pests dispersing from a single location (cell i) and arriving in another single location (cell j).

    -
    - The PoPS Model Equation -
    -

    At time, t, the number of infected/infested hosts in cell j as a result of pests/pathogens in cell i is Ψijt, which can be described by the PoPS model equation:

    -
    - The PoPS Model -
    -

    - The PoPS model equation can be conceptualized in terms of: -

      -
    1. Reproduction (how many pests leave cell i?)
    2. -
    3. Dispersal (where do the pests go?)
    4. -
    5. Establishment (how many hosts in cell j become infected?)
    6. -
    - We will describe each component below: -

    -
    -
    -

    Reproduction

    -
    -
    -

    Beta (β), the number of pests or pathogens that disperse from a single host under optimal environmental conditions, is the starting point of the PoPS model.

    -
    -
    -
    - The PoPS Model -
    -
    -
    -

    Conditions are rarely optimal and locations contain multiple hosts, so β is modified by the number of currently infested or infected hosts (I) and environmental conditions in a location (i) at a particular time (t) to determine reproduction.

    -
    - The PoPS Model -
    -

    The reproduction component of the PoPS equation gives the number of pests/pathogens dispersing from cell i to any cell at time t.

    -
    - The PoPS Model -
    -
    -
    -
    -
    -

    Dispersal

    -

    Now that we know how many pests/pathogens are dispersing from cell i, we need to determine where those pests/pathogens go.

    -

    This is where the dispersal component of the PoPS model comes in.

    -
    - The PoPS Model -
    -

    The dispersal kernel determines where the new dispersing propagules go; dispersal distance (d) is a function of gamma (γ), which indicates how much dispersal is due to natural processes (alpha-1, α1) or caused by anthropogenic means (alpha-2, α2). The distance of each propagule is determined by drawing from a distribution using either α1 or α2, and its direction is drawn from a distribution that accounts for predominant wind direction (ω) and wind strength (κ). If data is unavailable for these factors, then the distribution is a circle with equal probability in all directions.

    -
    - The PoPS Model -
    -

    The dispersal component of PoPS lets us know where the pests/pathogens from cell i go. From that, we determine how many pests/pathogens arrive at cell j.

    -
    -
    -
    -
    -

    Establishment

    -

    Now that we know how many pests/pathogens arrive in cell j from cell i, we need to calculate how many hosts in cell j become infected/infested as a result.

    -

    Establishment depends on the environmental conditions in cell j and the availability of suitable hosts, calculated as the number of susceptible hosts (S) divided by the total number of potential hosts (N).

    -
    - The PoPS Model -
    -

    The establishment component of the PoPS equation predicts the number of infested or infected hosts in cell j at time t.

    -
    - The PoPS Model -
    + +
    +
    +

    What is the PoPS model?

    +
    +
    +
    +
    + The PoPS Model Equation +
    +
    +
    +

    The flexible, customizable PoPS (Pest or Pathogen Spread) model simulates reproduction, + dispersal, and + establishment of pests (e.g., insects) and pathogens (i.e., viruses, bacteria, or other + organisms that cause disease) through space and time. The PoPS model is the power-house behind + the + PoPS Forecasting + Platform.

    +
    +
    +

    For every location in a landscape, at each time step, the PoPS model predicts the number of infested or + infected hosts (Ψ). To better understand how the model works, let's take a detailed look at the equation + governing the PoPS model.

    -
    -
    -

    Putting it all together

    -

    Combining the reproduction, dispersal, and establishment components of PoPS, we can calculate Ψijt (the number of infected/infested hosts in cell j at time t as a result of pests/pathogens from cell i).

    -
    - The PoPS Model -
    +
    +
    +
    +

    The PoPS Equation

    +
    +

    To break down how the model works, let’s consider pests dispersing from a single location (cell + i) and arriving in another single location (cell j).

    +
    + The PoPS Model Equation +
    +

    At time t, the number of infested/infected hosts in cell j as a result of + pests/pathogens in cell i is Ψijt, which can be described by the PoPS model equation: +

    +
    + The PoPS Model +
    +

    + The PoPS model equation can be conceptualized in terms of: +

      +
    1. Reproduction (How many pests + leave cell i?)
    2. +
    3. Dispersal (Where do the pests + go?)
    4. +
    5. Establishment (How many hosts in + cell j become infected?)
    6. +
    + We describe each component below: +

    +
    +
    +

    Reproduction

    +
    +
    +

    Beta (β), the number of pests or pathogens that disperse from a single host under optimal + environmental conditions, is the starting point of the PoPS model.

    +
    +
    +
    + The PoPS Model +
    +
    +
    +

    Conditions are rarely optimal and locations contain multiple hosts, so β is modified by the + number of currently infested or infected hosts (I) and environmental conditions in a location + (i) at a particular time (t) to determine reproduction.

    +
    + The PoPS Model +
    +

    The reproduction component of the PoPS equation gives the number of pests/pathogens dispersing + from cell i to any cell at time t. +

    +
    + The PoPS Model +
    +
    +
    +
    +
    +

    Dispersal

    +

    Now that we know how many pests/pathogens are dispersing from cell i, we need to + determine where those pests/pathogens go.

    +

    This is where the dispersal component of the PoPS model comes in.

    +
    + The PoPS Model +
    +

    The dispersal kernel determines where the new dispersing propagules go; dispersal distance (d) is + a function of gamma (γ), which indicates how much dispersal is due to natural processes + (alpha-1, α1) or caused by human-mediated transport (alpha-2, α2). The distance of each + propagule is determined by drawing from a distribution using either α1 or α2, and its direction + is drawn from a distribution that accounts for predominant wind direction (ω) and wind strength + (κ). If data are unavailable for these factors, then the distribution is a circle with equal + probability in all directions.

    +
    + The PoPS Model +
    +

    The dispersal component of PoPS lets us know where the pests/pathogens from cell + i go. From that, we determine how many pests/pathogens arrive at cell + j.

    +
    +
    +
    +
    +

    Establishment

    +

    Now that we know how many pests/pathogens arrive in cell j from cell + i, we need to calculate how many hosts in cell j become + infested/infected as a result.

    +

    Establishment depends on the environmental conditions in cell j and the + availability of suitable hosts, calculated as the number of susceptible hosts (S) divided by the + total number of potential hosts (N).

    +
    + The PoPS Model +
    +

    The establishment component of the PoPS equation predicts the number of infested or infected + hosts in cell j at time t.

    +
    + The PoPS Model +
    +
    +
    +
    +
    +

    Putting it all together

    +

    Combining the reproduction, dispersal, and establishment components of PoPS, we can calculate + Ψijt (the number of infested/infected hosts in cell j at time + t as a result of pests/pathogens from cell i).

    +
    + The PoPS Model +
    +
    +
    -
    -
    -
    -
    -

    The PoPS Model

    -
    -

    What we’ve described so far is a prediction of the number of infected hosts in a single cell as a result of pests/pathogens from another single cell. What we want to know is the total number of infected hosts across all cells in the entire landscape.

    -

    A spatially explicit, discrete-time model

    -

    The PoPS model performs these calculations for each cell in the landscape, for every time step in the simulation. The value of Ψ is predicted for each cell, forecasting the spread of a pest or pathogen from infested or infected hosts to susceptible hosts, among all cells, across the landscape.

    +
    +
    +

    The PoPS Model

    +
    +

    What we’ve described so far is a prediction of the number of infected hosts in a single + cell as a result of pests/pathogens from another single + cell. What we want to know is the total number of infected hosts across + all cells in the entire landscape.

    +

    A spatially explicit, discrete-time model

    +

    The PoPS model performs these calculations for each cell in the landscape, for every time step in the + simulation. The value of Ψ is predicted for each cell, forecasting the spread of a pest or pathogen from + infested or infected hosts to susceptible hosts, among all cells, across the landscape.

    Watch the video to see reproduction, dispersal and establishment across a landscape. @@ -145,36 +185,43 @@

    A spatially explicit, discrete-time model

    Your browser does not support the video tag. -
    - -

    With considerable optimization and parallelization, PoPS runs quickly, even for landscapes with millions of cells.

    -
    - The PoPS Model -
    -
    - PoPS simulation of Spotted Lanternfly -
    -

    More model details

    -

    PoPS is a modular, spatially explicit, discrete-time model, meaning that various components (e.g., weather effects or long-range dispersal) can be included or excluded from the model as necessary (through intuitive on-off switches on the interface) depending on the drivers that influence the species of interest; the model accounts for spatial relationships and movements between grid cells in a landscape; and it forecasts across sequential time steps (which can be specified as either daily, weekly, monthly, or yearly.

    -

    Learn more about how PoPS handles:

    -

    -
    -
    -
    -
    -

    How can I use PoPS?

    -
    -

    PoPS is open-source and freely available for anyone to use. There are two ways you can use PoPS:

    -
    -
    -

    Option 1: Download PoPS to run on your computer

    -
    -
    +
    + +

    With considerable optimization and parallelization, PoPS runs quickly, even for landscapes with millions + of cells.

    +
    + The PoPS Model +
    +
    + PoPS simulation of Spotted Lanternfly +
    +

    More model details

    +

    PoPS is a modular, spatially explicit, discrete-time model: various components (e.g., weather effects or + long-range dispersal) can be included or excluded from the model as necessary (through intuitive on-off + switches on the interface) depending on the drivers that influence the species of interest; the model + accounts for spatial relationships and movements between grid cells in a landscape; and it forecasts + across sequential time steps (which can be specified as either daily, weekly, monthly, or yearly).

    +

    Learn more about how PoPS handles:

    +

    +
    +
    +
    +
    +

    How can I use PoPS?

    +
    +

    PoPS is open source and freely available for anyone to use. There are two ways you can use PoPS:

    +
    +
    +

    Option 1: Download PoPS to run on your computer

    +
    +

    Users may download the PoPS model code for:

    • R
    • @@ -182,57 +229,58 @@

      Option 1: Download PoPS to run on your computer

    • Python (coming soon)

    - -
    -
    - +
    +
    + The PoPS Model +
    -
    +
    -
    -
    -

    Option 2: Use the web-based PoPS Dashboard

    -
    -
    -

    (Available for public use soon.)

    -

    No coding experience? We developed an easy-to-use interface to run the PoPS model in the - cloud. The dashboard is currently being used internally and will be made - available for public use soon.

    -
    - {% csrf_token %} - Get notified when the PoPS Dashboard is available: -
    - -
    - +
    +

    Option 2: Use the web-based PoPS Dashboard

    +
    +
    +

    (Available for public use soon.)

    +

    No coding experience? We developed an easy-to-use interface to run the PoPS model in the + cloud. The dashboard is currently being used internally and will be made + available for public use soon.

    + + {% csrf_token %} + Get notified when the PoPS Dashboard is available: +
    + +
    + +
    +
    + + +
    +
    + +
    +
    +
    + The PoPS Model
    -
    - - -
    -
    - -
    -
    -
    - The PoPS Model
    -
    -
    -
    +
    +
    +
    -
    -
    +
    diff --git a/templates/the-pops-platform.html b/templates/the-pops-platform.html index df10da98..8aa38201 100644 --- a/templates/the-pops-platform.html +++ b/templates/the-pops-platform.html @@ -11,74 +11,114 @@ {% block content %}
    -

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