I’m the luckiest person here today I get to talk about two of my passions first I
to talk about two of my passions first I
to talk about two of my passions first I get to talk about data maps and
get to talk about data maps and
get to talk about data maps and everybody’s favorite subject statistics
everybody’s favorite subject statistics
everybody’s favorite subject statistics I have a secret to share with you I
I have a secret to share with you I
I have a secret to share with you I speak to data and data speaks to me I I
speak to data and data speaks to me I I
speak to data and data speaks to me I I simply use these equations to translate
simply use these equations to translate
simply use these equations to translate the story that the data is trying to
the story that the data is trying to
the story that the data is trying to tell and I try to tell that story using
tell and I try to tell that story using
tell and I try to tell that story using maps my second passion is that I’m on a
maps my second passion is that I’m on a
maps my second passion is that I’m on a journey I am on a journey to share my
journey I am on a journey to share my
journey I am on a journey to share my secret with everyone so they can speak
secret with everyone so they can speak
secret with everyone so they can speak with data and they can tell the story
with data and they can tell the story
with data and they can tell the story that they’re hearing through maps one of
that they’re hearing through maps one of
that they’re hearing through maps one of the most memorable moments for me was
the most memorable moments for me was
the most memorable moments for me was creating this simple map for one of our
creating this simple map for one of our
creating this simple map for one of our community partners when they saw this
community partners when they saw this
community partners when they saw this map they were shocked because they
map they were shocked because they
map they were shocked because they thought all the clients that came to
thought all the clients that came to
thought all the clients that came to their Center for help were in South st.
their Center for help were in South st.
their Center for help were in South st. Louis the very first question they asked
Louis the very first question they asked
Louis the very first question they asked me was there a difference between their
me was there a difference between their
me was there a difference between their clients that live in the suburbs under
clients that live in the suburbs under
clients that live in the suburbs under clients who lived in the city in regards
clients who lived in the city in regards
clients who lived in the city in regards to employment opportunities educational
to employment opportunities educational
to employment opportunities educational opportunities and other resources I
opportunities and other resources I
opportunities and other resources I became interested in social economic
became interested in social economic
became interested in social economic differences across neighborhoods
differences across neighborhoods
differences across neighborhoods growing up in discuss book Nebraska a
growing up in discuss book Nebraska a
growing up in discuss book Nebraska a town of about 15,000 residents when I
town of about 15,000 residents when I
town of about 15,000 residents when I was growing up about 17% of the
was growing up about 17% of the
was growing up about 17% of the population was Latino at the age of 10 I
population was Latino at the age of 10 I
population was Latino at the age of 10 I became aware of a spatial divide it was
became aware of a spatial divide it was
became aware of a spatial divide it was called East Overland I lived in the part
called East Overland I lived in the part
called East Overland I lived in the part of town that had a high concentration of
of town that had a high concentration of
of town that had a high concentration of Latinos I asked myself why were Latinos
Latinos I asked myself why were Latinos
Latinos I asked myself why were Latinos clustered in that part of town
clustered in that part of town
clustered in that part of town why did some people consider East 9th
why did some people consider East 9th
why did some people consider East 9th Street to be dangerous
Street to be dangerous
Street to be dangerous was it the vacant lots the dilapidated
was it the vacant lots the dilapidated
was it the vacant lots the dilapidated housing the dying trees I remember being
housing the dying trees I remember being
housing the dying trees I remember being able to smell inequality because I never
able to smell inequality because I never
able to smell inequality because I never did
did
did of a mile of two different new packing
of a mile of two different new packing
of a mile of two different new packing plants and on days when it was hot and
plants and on days when it was hot and
plants and on days when it was hot and the smell was bad my mom made a special
the smell was bad my mom made a special
the smell was bad my mom made a special effort to make fresh authentic Mexican
effort to make fresh authentic Mexican
effort to make fresh authentic Mexican food I look back at those days and I
food I look back at those days and I
food I look back at those days and I thank my mom for creating different
thank my mom for creating different
thank my mom for creating different memories memories of love memories of a
memories memories of love memories of a
memories memories of love memories of a strong sense of community
strong sense of community
strong sense of community memories of resilience I later learned
memories of resilience I later learned
memories of resilience I later learned on in college that these are all
on in college that these are all
on in college that these are all concepts that lead to a concept called
concepts that lead to a concept called
concepts that lead to a concept called social capital and social capital and
social capital and social capital and
social capital and social capital and assets found in poor communities an
assets found in poor communities an
assets found in poor communities an asset that can be used as a catalyst for
asset that can be used as a catalyst for
asset that can be used as a catalyst for change I looked at the 2015 census data
change I looked at the 2015 census data
change I looked at the 2015 census data for my town today Scott’s wife has a
for my town today Scott’s wife has a
for my town today Scott’s wife has a population that is 32% Latino my
population that is 32% Latino my
population that is 32% Latino my neighborhood was 30% Latino and 1980
neighborhood was 30% Latino and 1980
neighborhood was 30% Latino and 1980 today it’s 61% the spatial divide is no
today it’s 61% the spatial divide is no
today it’s 61% the spatial divide is no longer Eastover win its 20th Street in
longer Eastover win its 20th Street in
longer Eastover win its 20th Street in fact there’s one block group that’s 50%
fact there’s one block group that’s 50%
fact there’s one block group that’s 50% white and 50% Latino in 1987 I moved 400
white and 50% Latino in 1987 I moved 400
white and 50% Latino in 1987 I moved 400 miles across the state to start college
miles across the state to start college
miles across the state to start college at the University of nebraska-lincoln
at the University of nebraska-lincoln
at the University of nebraska-lincoln imagine my surprise when I was
imagine my surprise when I was
imagine my surprise when I was introduced to a new divide chi-town and
introduced to a new divide chi-town and
introduced to a new divide chi-town and one of my classes we started to talk
one of my classes we started to talk
one of my classes we started to talk about demographic concepts such as
about demographic concepts such as
about demographic concepts such as concentrated poverty the isolation of
concentrated poverty the isolation of
concentrated poverty the isolation of racial minorities and we always talked
racial minorities and we always talked
racial minorities and we always talked about T town as an example we use census
about T town as an example we use census
about T town as an example we use census tract tables to studies T town one day
tract tables to studies T town one day
tract tables to studies T town one day at the library I was looking at this
at the library I was looking at this
at the library I was looking at this table and I became so frustrated because
table and I became so frustrated because
table and I became so frustrated because I knew that there was a corresponding
I knew that there was a corresponding
I knew that there was a corresponding map for that table something moved me to
map for that table something moved me to
map for that table something moved me to go ask the librarian if she could help
go ask the librarian if she could help
go ask the librarian if she could help me find this man she came back a few
me find this man she came back a few
me find this man she came back a few minutes later with this very big map or
minutes later with this very big map or
minutes later with this very big map or like 6 foot by 6 foot and I laid it over
like 6 foot by 6 foot and I laid it over
like 6 foot by 6 foot and I laid it over this reference table and then I started
this reference table and then I started
this reference table and then I started to transpose that table in my mind
to transpose that table in my mind
to transpose that table in my mind through this map it was that bad moment
through this map it was that bad moment
through this map it was that bad moment something touched my soul
something touched my soul
something touched my soul something touched my intellectual spirit
something touched my intellectual spirit
something touched my intellectual spirit because I could see a pattern in that
because I could see a pattern in that
because I could see a pattern in that map and then I said to myself if only we
map and then I said to myself if only we
map and then I said to myself if only we made the effort and took the time to
made the effort and took the time to
made the effort and took the time to take that table and visualize on a map
take that table and visualize on a map
take that table and visualize on a map we would not only tell a better story
we would not only tell a better story
we would not only tell a better story but we would tell the more accurate
but we would tell the more accurate
but we would tell the more accurate story I made 14 figures for my final
story I made 14 figures for my final
story I made 14 figures for my final paper for that class and I would like to
paper for that class and I would like to
paper for that class and I would like to share two of them with you today the
share two of them with you today the
share two of them with you today the first map is a map of concentrated
first map is a map of concentrated
first map is a map of concentrated poverty there were two census tracts
poverty there were two census tracts
poverty there were two census tracts that were identified as high poverty
that were identified as high poverty
that were identified as high poverty neighborhoods one of the tracks was in
neighborhoods one of the tracks was in
neighborhoods one of the tracks was in tea town and the other track I called
tea town and the other track I called
tea town and the other track I called the invisible track because nobody ever
the invisible track because nobody ever
the invisible track because nobody ever talked about it
talked about it
talked about it my second map was my first attempt at
my second map was my first attempt at
my second map was my first attempt at mapping racial segregation in Lincoln
mapping racial segregation in Lincoln
mapping racial segregation in Lincoln Nebraska these maps are instructive to
Nebraska these maps are instructive to
Nebraska these maps are instructive to me for two reasons
me for two reasons
me for two reasons the ability to make professional maps
the ability to make professional maps
the ability to make professional maps back then was limited to a few people
back then was limited to a few people
back then was limited to a few people because you need a time money and
because you need a time money and
because you need a time money and resources this was not empowering
resources this was not empowering
resources this was not empowering especially to those individuals who
especially to those individuals who
especially to those individuals who needed the data the most to ask for
needed the data the most to ask for
needed the data the most to ask for resources to improve the quality of life
resources to improve the quality of life
resources to improve the quality of life in their neighborhoods but second all of
in their neighborhoods but second all of
in their neighborhoods but second all of the statistical applications I knew at
the statistical applications I knew at
the statistical applications I knew at the time could not be applied to maps my
the time could not be applied to maps my
the time could not be applied to maps my professor wrote a comment it appears you
professor wrote a comment it appears you
professor wrote a comment it appears you have found a pattern of spatial
have found a pattern of spatial
have found a pattern of spatial inequality I was disappointed with that
inequality I was disappointed with that
inequality I was disappointed with that comment because I knew in my heart I had
comment because I knew in my heart I had
comment because I knew in my heart I had found a pattern but I had no objective
found a pattern but I had no objective
found a pattern but I had no objective evidence to show that the pattern really
evidence to show that the pattern really
evidence to show that the pattern really mattered because all of the spatial
mattered because all of the spatial
mattered because all of the spatial statistics I know today were not
statistics I know today were not
statistics I know today were not possible to apply to maps when this was
possible to apply to maps when this was
possible to apply to maps when this was made so I’m on a second journey to
made so I’m on a second journey to
made so I’m on a second journey to change the words appears to have found
change the words appears to have found
change the words appears to have found two the words you have found when I came
two the words you have found when I came
two the words you have found when I came to st. Louis I was introduced to the
to st. Louis I was introduced to the
to st. Louis I was introduced to the Dalmore divide so when the 2010 census
Dalmore divide so when the 2010 census
Dalmore divide so when the 2010 census came out I wanted to map that divide
came out I wanted to map that divide
came out I wanted to map that divide using black majority and white majority
using black majority and white majority
using black majority and white majority blocks but then I started to look at
blocks but then I started to look at
blocks but then I started to look at other data for st. Louis in the suburbs
other data for st. Louis in the suburbs
other data for st. Louis in the suburbs and I
and I
and I this map is probably not accurate so I
this map is probably not accurate so I
this map is probably not accurate so I wanted to make a map of multi racial
wanted to make a map of multi racial
wanted to make a map of multi racial segregation for whites blacks Latinos
segregation for whites blacks Latinos
segregation for whites blacks Latinos Asians and other minorities so I used
Asians and other minorities so I used
Asians and other minorities so I used the two equations that I presented that
the two equations that I presented that
the two equations that I presented that to started my talk to create this map
to started my talk to create this map
to started my talk to create this map the Delmore device stills exists
the Delmore device stills exists
the Delmore device stills exists north of the divide contributes to
north of the divide contributes to
north of the divide contributes to racial segregation but there’s a second
racial segregation but there’s a second
racial segregation but there’s a second and third part of the city that also
and third part of the city that also
and third part of the city that also contributes to racial segregation and
contributes to racial segregation and
contributes to racial segregation and there’s a large part of the city that’s
there’s a large part of the city that’s
there’s a large part of the city that’s shaded in blue that’s a fact racially
shaded in blue that’s a fact racially
shaded in blue that’s a fact racially integrated when I saw this map I was
integrated when I saw this map I was
integrated when I saw this map I was surprised because when I went to
surprised because when I went to
surprised because when I went to meetings
meetings
meetings everybody just talked about the Dalmar
everybody just talked about the Dalmar
everybody just talked about the Dalmar divide but nobody talked about the other
divide but nobody talked about the other
divide but nobody talked about the other divides that contribute to racial
divides that contribute to racial
divides that contribute to racial segregation and very few people talked
segregation and very few people talked
segregation and very few people talked about the neighborhoods that are in fact
about the neighborhoods that are in fact
about the neighborhoods that are in fact racially integrated I was at a meeting
racially integrated I was at a meeting
racially integrated I was at a meeting presenting this map and somebody asked
presenting this map and somebody asked
presenting this map and somebody asked me if I could make a map of the quality
me if I could make a map of the quality
me if I could make a map of the quality of parks and st. Louis I thought that
of parks and st. Louis I thought that
of parks and st. Louis I thought that was a strange request until I started to
was a strange request until I started to
was a strange request until I started to look at satellite images two images
look at satellite images two images
look at satellite images two images stood out for me the first images of
stood out for me the first images of
stood out for me the first images of fairground park a very large park but
fairground park a very large park but
fairground park a very large park but not there many trees and lots of open
not there many trees and lots of open
not there many trees and lots of open space that’s dedicated to sports the
space that’s dedicated to sports the
space that’s dedicated to sports the second image is Corinth ilat Park again
second image is Corinth ilat Park again
second image is Corinth ilat Park again a very large park but look at the amount
a very large park but look at the amount
a very large park but look at the amount of trees in that park
of trees in that park
of trees in that park I wanted to empirically measure the
I wanted to empirically measure the
I wanted to empirically measure the difference between the two parks but I
difference between the two parks but I
difference between the two parks but I didn’t know how to do it
didn’t know how to do it
didn’t know how to do it so I asked a colleague out for lunch who
so I asked a colleague out for lunch who
so I asked a colleague out for lunch who works with satellite images and he said
works with satellite images and he said
works with satellite images and he said it was possible to empirically measure
it was possible to empirically measure
it was possible to empirically measure the difference so I was excited because
the difference so I was excited because
the difference so I was excited because I was going to be able to make this map
I was going to be able to make this map
I was going to be able to make this map but then I started to ask myself what
but then I started to ask myself what
but then I started to ask myself what other types of data does the community
other types of data does the community
other types of data does the community want to better understand their
want to better understand their
want to better understand their neighborhood so in 2012 I put together a
neighborhood so in 2012 I put together a
neighborhood so in 2012 I put together a research team at st. Louis University
research team at st. Louis University
research team at st. Louis University and we wrote a grant called mapping risk
and we wrote a grant called mapping risk
and we wrote a grant called mapping risk and resilience and st. Louis the goal of
and resilience and st. Louis the goal of
and resilience and st. Louis the goal of the grant was to collect data that the
the grant was to collect data that the
the grant was to collect data that the community wanted to better understand
community wanted to better understand
community wanted to better understand their neighborhoods they told that they
their neighborhoods they told that they
their neighborhoods they told that they wanted data on crime and infant health
wanted data on crime and infant health
wanted data on crime and infant health they wanted data on foreclosures and
they wanted data on foreclosures and
they wanted data on foreclosures and homeownership they wanted data on
homeownership they wanted data on
homeownership they wanted data on brownfields and vacant land and vague
brownfields and vacant land and vague
brownfields and vacant land and vague homes and they wanted data on the tree
homes and they wanted data on the tree
homes and they wanted data on the tree health and vegetation in their
health and vegetation in their
health and vegetation in their neighborhoods these are just a few
neighborhoods these are just a few
neighborhoods these are just a few examples that they wanted so we started
examples that they wanted so we started
examples that they wanted so we started to collect the data and we had workshops
to collect the data and we had workshops
to collect the data and we had workshops and campus to visualize the data that we
and campus to visualize the data that we
and campus to visualize the data that we were collecting but then somebody made a
were collecting but then somebody made a
were collecting but then somebody made a comment and it was a watershed moment
comment and it was a watershed moment
comment and it was a watershed moment for me because for one brief moment I
for me because for one brief moment I
for me because for one brief moment I heard my mom’s voice I heard a voice of
heard my mom’s voice I heard a voice of
heard my mom’s voice I heard a voice of resilience because she said Nance
resilience because she said Nance
resilience because she said Nance we can’t change a neighborhood we don’t
we can’t change a neighborhood we don’t
we can’t change a neighborhood we don’t have the resources to change a
have the resources to change a
have the resources to change a neighborhood but we can change a block
neighborhood but we can change a block
neighborhood but we can change a block we can clean up a vacant lot we can
we can clean up a vacant lot we can
we can clean up a vacant lot we can repair a broken house we can grow a
repair a broken house we can grow a
repair a broken house we can grow a community garden and I said you’re right
community garden and I said you’re right
community garden and I said you’re right why do we continue to give community
why do we continue to give community
why do we continue to give community organizations data and maps that are not
organizations data and maps that are not
organizations data and maps that are not on a human scale so we made an important
on a human scale so we made an important
on a human scale so we made an important decision we decided that we were not
decision we decided that we were not
decision we decided that we were not going to use census tract boundaries or
going to use census tract boundaries or
going to use census tract boundaries or neighborhood boundaries which is the
neighborhood boundaries which is the
neighborhood boundaries which is the dominant method in social science to
dominant method in social science to
dominant method in social science to visualize and collect data we developed
visualize and collect data we developed
visualize and collect data we developed a new methodology using grids to map
a new methodology using grids to map
a new methodology using grids to map neighborhoods we call this methodology
neighborhoods we call this methodology
neighborhoods we call this methodology micro demography now the advantage of
micro demography now the advantage of
micro demography now the advantage of micro demography does that we are giving
micro demography does that we are giving
micro demography does that we are giving the power of the map to the user the
the power of the map to the user the
the power of the map to the user the user decides how they want to map their
user decides how they want to map their
user decides how they want to map their neighborhood they can create a grid
neighborhood they can create a grid
neighborhood they can create a grid that’s one block by one block or they
that’s one block by one block or they
that’s one block by one block or they can create a grid that’s three blocks by
can create a grid that’s three blocks by
can create a grid that’s three blocks by three blocks but the point of the
three blocks but the point of the
three blocks but the point of the methodology is that the user makes that
methodology is that the user makes that
methodology is that the user makes that decision the second advantage of this
decision the second advantage of this
decision the second advantage of this methodology is that it forced us to
methodology is that it forced us to
methodology is that it forced us to standardize all the data that we were
standardize all the data that we were
standardize all the data that we were collecting because we were able to
collecting because we were able to
collecting because we were able to standardize it it allowed us to create
standardize it it allowed us to create
standardize it it allowed us to create different types of indices and one of
different types of indices and one of
different types of indices and one of the indices we created we called the
the indices we created we called the
the indices we created we called the social environmental disparity index it
social environmental disparity index it
social environmental disparity index it looked at the total cumulative advantage
looked at the total cumulative advantage
looked at the total cumulative advantage and disadvantage within these grids we
and disadvantage within these grids we
and disadvantage within these grids we offer workshops on campus where we
offer workshops on campus where we
offer workshops on campus where we invite the community to come in and
invite the community to come in and
invite the community to come in and visualize and make maps with this data
visualize and make maps with this data
visualize and make maps with this data one of the maps that they like to make
one of the maps that they like to make
one of the maps that they like to make is the map of the city using the social
is the map of the city using the social
is the map of the city using the social environmental
environmental
environmental spirity index you could see there
spirity index you could see there
spirity index you could see there appears to be a pattern in this map now
appears to be a pattern in this map now
appears to be a pattern in this map now one of the difficulties of this map is
one of the difficulties of this map is
one of the difficulties of this map is that there are over 2,600 grids if I
that there are over 2,600 grids if I
that there are over 2,600 grids if I randomly pick ten people to come on
randomly pick ten people to come on
randomly pick ten people to come on stage right now they would probably make
stage right now they would probably make
stage right now they would probably make ten different maps of the grids that are
ten different maps of the grids that are
ten different maps of the grids that are statistically significant so we teach
statistically significant so we teach
statistically significant so we teach our participants to use spatial
our participants to use spatial
our participants to use spatial statistics to make maps that show the
statistics to make maps that show the
statistics to make maps that show the grids that are statistically significant
grids that are statistically significant
grids that are statistically significant one of the maps that they like to make
one of the maps that they like to make
one of the maps that they like to make is the map of the areas of the city that
is the map of the areas of the city that
is the map of the areas of the city that contribute to racial segregation and so
contribute to racial segregation and so
contribute to racial segregation and so here we are able to make a map of only
here we are able to make a map of only
here we are able to make a map of only the grids that are statistically
the grids that are statistically
the grids that are statistically significant but you can start to see a
significant but you can start to see a
significant but you can start to see a pattern now emerging one part of the
pattern now emerging one part of the
pattern now emerging one part of the city
city
city that’s racially segregated has grids
that’s racially segregated has grids
that’s racially segregated has grids that have low values next to low values
that have low values next to low values
that have low values next to low values and another part of the city has high
and another part of the city has high
and another part of the city has high values next to high values this allows
values next to high values this allows
values next to high values this allows individuals to really focus in on what
individuals to really focus in on what
individuals to really focus in on what they can do as a neighborhood or as a
they can do as a neighborhood or as a
they can do as a neighborhood or as a citizen through our workshops we
citizen through our workshops we
citizen through our workshops we encourage our participants to make as
encourage our participants to make as
encourage our participants to make as many maps and to take the data back to
many maps and to take the data back to
many maps and to take the data back to their neighborhoods to start a dialogue
their neighborhoods to start a dialogue
their neighborhoods to start a dialogue on what actions are necessary to start a
on what actions are necessary to start a
on what actions are necessary to start a change on their block I’ve come to
change on their block I’ve come to
change on their block I’ve come to realize that unleashing the power of
realize that unleashing the power of
realize that unleashing the power of maps comes in two forms first we are
maps comes in two forms first we are
maps comes in two forms first we are working in the era of big data we can
working in the era of big data we can
working in the era of big data we can now work with social economic ecological
now work with social economic ecological
now work with social economic ecological and environmental data and because the
and environmental data and because the
and environmental data and because the maps were able to synthesize it and
maps were able to synthesize it and
maps were able to synthesize it and we’re able to integrate it but we can
we’re able to integrate it but we can
we’re able to integrate it but we can now apply spatial statistics to these
now apply spatial statistics to these
now apply spatial statistics to these maps to identify the patterns that
maps to identify the patterns that
maps to identify the patterns that really matter and we can use those maps
really matter and we can use those maps
really matter and we can use those maps to prioritize our time our treasure and
to prioritize our time our treasure and
to prioritize our time our treasure and our talent to not only tackle the
our talent to not only tackle the
our talent to not only tackle the challenges in our neighborhood but to
challenges in our neighborhood but to
challenges in our neighborhood but to embrace the opportunities in our
embrace the opportunities in our
embrace the opportunities in our neighborhood but the second form of
neighborhood but the second form of
neighborhood but the second form of Elysion to power maps is our ability to
Elysion to power maps is our ability to
Elysion to power maps is our ability to empower everyday citizens to be the
empower everyday citizens to be the
empower everyday citizens to be the catalyst of change to take the data and
catalyst of change to take the data and
catalyst of change to take the data and to visualize their neighborhoods in new
to visualize their neighborhoods in new
to visualize their neighborhoods in new innovative and refreshing ways when our
innovative and refreshing ways when our
innovative and refreshing ways when our clients saw this map they were excited
clients saw this map they were excited
clients saw this map they were excited they wanted to make more maps
they wanted to make more maps
they wanted to make more maps because they wanted to use these maps to
because they wanted to use these maps to
because they wanted to use these maps to improve the quality life of their
improve the quality life of their
improve the quality life of their clients when they saw this map they
clients when they saw this map they
clients when they saw this map they finally understood the role that
finally understood the role that
finally understood the role that neighborhoods played in the day-to-day
neighborhoods played in the day-to-day
neighborhoods played in the day-to-day lives of their clients they were able to
lives of their clients they were able to
lives of their clients they were able to see for the first time how much access
see for the first time how much access
see for the first time how much access their clients had to grocery stores
their clients had to grocery stores
their clients had to grocery stores banks and other resources that had no
banks and other resources that had no
banks and other resources that had no access to the car and as we discovered
access to the car and as we discovered
access to the car and as we discovered in the research project having access to
in the research project having access to
in the research project having access to the car not only improved quality of
the car not only improved quality of
the car not only improved quality of life but a reduced day-to-day stress
life but a reduced day-to-day stress
life but a reduced day-to-day stress this story reflects my passion to go to
this story reflects my passion to go to
this story reflects my passion to go to the office every day yes we need to
the office every day yes we need to
the office every day yes we need to continue to make innovation in our
continue to make innovation in our
continue to make innovation in our spatial statistics to identify the
spatial statistics to identify the
spatial statistics to identify the patterns that matter but we need to give
patterns that matter but we need to give
patterns that matter but we need to give data and maps to everyday citizens and
data and maps to everyday citizens and
data and maps to everyday citizens and community organizations that are on a
community organizations that are on a
community organizations that are on a human scale so they can visualize their
human scale so they can visualize their
human scale so they can visualize their neighborhoods the way that they
neighborhoods the way that they
neighborhoods the way that they understand their lives on a day to day
understand their lives on a day to day
understand their lives on a day to day basis we need to give them the resources
basis we need to give them the resources
basis we need to give them the resources to envision a future that they want a
to envision a future that they want a
to envision a future that they want a future where everybody has the
future where everybody has the
future where everybody has the opportunity to live a dignified life
opportunity to live a dignified life
opportunity to live a dignified life together we can work side-by-side to
together we can work side-by-side to
together we can work side-by-side to change unequal spaces one block at a
change unequal spaces one block at a
change unequal spaces one block at a time thank you
time thank you
time thank you [Applause]
”
Be First to Comment